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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1113
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    Explanations

    technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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     specialization
    -0.58
     accessibility
    -0.57
     behav
    -0.57
     Approach
    -0.57
    POSITIVE LOGITS
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    1.10
     laun
    0.72
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    NetMessage
    0.71
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    0.70
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    0.65
    scl
    0.64
    PF
    0.63
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    0.62
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    0.62
    Activations Density 0.275%

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