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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. 9-RES-JB
    11. 14007
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    Explanations

    references to laws, regulations, and specific items in a list

    oai_token-act-pair · gpt-3.5-turbo

    key legislative terms and references to public policy issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.63
     Cosponsors
    -0.62
     SHARES
    -0.62
    ãĥ³ãĤ¸
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    grim
    -0.60
    ¬¼
    -0.57
     GEN
    -0.57
    wcsstore
    -0.54
    ROR
    -0.54
     }}
    -0.54
    POSITIVE LOGITS
     besides
    1.25
     including
    1.22
     ranging
    1.16
     viz
    1.13
     namely
    1.09
     Including
    1.04
    including
    0.97
     includ
    0.93
     include
    0.90
     INCLUD
    0.87
    Activations Density 0.821%

    No Known Activations