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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. 10-RES-JB
    11. 750
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ongh
    -0.79
    ierrez
    -0.76
    imble
    -0.71
    imore
    -0.69
    olor
    -0.68
    wright
    -0.68
    ptin
    -0.68
    onite
    -0.66
    ols
    -0.64
    luster
    -0.64
    POSITIVE LOGITS
    å¹
    1.53
     onwards
    0.87
     INTER
    0.78
     EDITION
    0.75
     Edition
    0.74
    æĹ
    0.73
    01
    0.73
    -)
    0.72
    20439
    0.71
    天
    0.71
    Activations Density 0.067%

    No Known Activations