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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. 13628
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    Explanations

    mentions of the word "multi" with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "multi."

    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
     rall
    -0.91
     CPC
    -0.72
     Syndicate
    -0.69
     Sketch
    -0.66
     silence
    -0.65
     Wonderland
    -0.65
    Ö¼
    -0.63
     Brawl
    -0.63
     Tycoon
    -0.63
     Passage
    -0.63
    POSITIVE LOGITS
    ples
    1.44
    agency
    1.06
    unit
    1.00
    year
    0.96
    ennial
    0.95
    player
    0.95
    dimensional
    0.92
    plane
    0.92
    arch
    0.92
    employ
    0.92
    Activations Density 0.019%

    No Known Activations