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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. 1756
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    INDEX
    Explanations

    mentions of dates and events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events, discussions, or contexts in a timeline or narrative

    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
    $$$$
    -0.77
    akable
    -0.72
    oyal
    -0.68
     Pwr
    -0.67
     Canter
    -0.66
    rolet
    -0.64
    utic
    -0.64
    borgh
    -0.64
    ovable
    -0.64
    merce
    -0.63
    POSITIVE LOGITS
     gist
    1.27
     excerpt
    1.27
     excerpts
    1.15
     quote
    1.15
    itled
    1.06
     snippet
    0.97
     pertinent
    0.96
     paraph
    0.95
     paragraphs
    0.95
     ital
    0.90
    Activations Density 0.696%

    No Known Activations