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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 18176
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    specific years mentioned in a historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    venge
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    EStreamFrame
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    hop
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    edo
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    ndra
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     explan
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    plan
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     kin
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    tro
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     unw
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    POSITIVE LOGITS
    -'
    0.85
    å¹
    0.78
     onwards
    0.73
     JFK
    0.67
     Copyright
    0.66
     "$:/
    0.66
    çļ
    0.65
     BCE
    0.65
    regate
    0.65
    oslov
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    Activations Density 0.078%

    No Known Activations