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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 18000
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values or related data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ascus
    -0.92
    ĸļ
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    atis
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     tremend
    -0.80
    umin
    -0.71
    hess
    -0.70
    senal
    -0.70
    undai
    -0.70
    itsch
    -0.69
     pse
    -0.69
    POSITIVE LOGITS
    th
    0.94
    55
    0.82
    82
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    85
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    83
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    81
    0.79
    50
    0.79
     minutes
    0.79
    84
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    92
    0.78
    Activations Density 0.031%

    No Known Activations