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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. 7-RES-JB
    11. 5012
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    Explanations

    organization names, proper nouns related to crime, and government agencies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of government agencies, organizations, and corporations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.91
    âķIJâķIJ
    -0.78
    etus
    -0.74
    chest
    -0.73
     "$:/
    -0.72
     dstg
    -0.71
    trop
    -0.71
    bm
    -0.69
    Ô
    -0.68
    bell
    -0.67
    POSITIVE LOGITS
     spokesman
    1.13
     spokesperson
    1.11
     spokeswoman
    1.08
     additionally
    0.91
     also
    0.90
     believes
    0.82
     declined
    0.81
     emphasizes
    0.81
     acknowledges
    0.80
     furthermore
    0.80
    Activations Density 0.383%

    No Known Activations