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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. 16383
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    Explanations

    names of individuals.

    oai_token-act-pair · gpt-3.5-turbo

    instances of empty or irrelevant text sections

    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
    ounter
    -0.67
    etheless
    -0.63
    ATIONAL
    -0.63
    paces
    -0.62
     traff
    -0.62
     proble
    -0.62
     daytime
    -0.61
     antis
    -0.61
    merce
    -0.61
     warranty
    -0.60
    POSITIVE LOGITS
    ingham
    1.05
    enberg
    0.99
    entin
    0.93
    ley
    0.92
    baugh
    0.92
    hart
    0.91
    witz
    0.90
    love
    0.89
    leton
    0.88
    backer
    0.85
    Activations Density 0.221%

    No Known Activations