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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. 14284
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    Explanations

    attributions of statements to individuals

    oai_token-act-pair · gpt-3.5-turbo

    statements or assertions attributed to individuals followed by the phrase "he said" or "she said."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.56
    commit
    -0.54
     litter
    -0.53
    protect
    -0.51
    wear
    -0.51
    fet
    -0.51
    bol
    -0.51
     monog
    -0.50
     coffin
    -0.50
    NetMessage
    -0.50
    POSITIVE LOGITS
     paraph
    0.76
     explained
    0.74
    said
    0.71
     said
    0.70
     elaborated
    0.68
     Said
    0.66
     quoting
    0.63
    Said
    0.63
     joked
    0.62
     told
    0.62
    Activations Density 0.309%

    No Known Activations