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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. 18950
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    Explanations

    personal names and organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals involved in legal or court-related contexts

    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
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    No Comments

    Negative Logits
    hematically
    -0.64
    ãĤª
    -0.57
    ivating
    -0.57
    iquid
    -0.56
    unless
    -0.55
    ceivable
    -0.54
    maxwell
    -0.54
    icians
    -0.52
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    -0.52
    abis
    -0.52
    POSITIVE LOGITS
     fame
    0.64
     behalf
    0.62
     hers
    0.62
     )]
    0.57
    arthed
    0.57
    )]
    0.56
     Merchants
    0.56
     Vigil
    0.55
     Archdemon
    0.55
     campus
    0.55
    Activations Density 0.938%

    No Known Activations