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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. 22825
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    Explanations

    brief, quick, and summarizing phrases or sections

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of placeholder elements or formatting cues that seem unrelated to the content

    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
    ardless
    -0.80
    eworld
    -0.77
    existent
    -0.77
    eligible
    -0.76
    utm
    -0.73
    "},"
    -0.73
    urated
    -0.73
    enance
    -0.72
    aden
    -0.70
    emale
    -0.70
    POSITIVE LOGITS
     note
    1.50
     disclaimer
    1.47
     caveat
    1.46
     reminder
    1.36
     caveats
    1.36
     refres
    1.30
     clarification
    1.24
     notes
    1.14
     recap
    1.12
     Note
    1.12
    Activations Density 0.239%

    No Known Activations