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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. 11-RES-JB
    11. 5841
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    Explanations

    references to specific universities

    oai_token-act-pair · gpt-3.5-turbo

    references to Notre Dame University and related institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibility
    -0.71
    ibly
    -0.69
    ulating
    -0.68
    ible
    -0.67
    è¦ļéĨĴ
    -0.63
     stroke
    -0.63
    oulos
    -0.62
     wallets
    -0.62
     Operation
    -0.62
    ulators
    -0.62
    POSITIVE LOGITS
     Dame
    1.86
    lict
    1.07
    licts
    1.04
    heastern
    0.99
    liction
    0.85
    flex
    0.84
    cé
    0.84
    ¯
    0.78
    essee
    0.76
    ĵ
    0.76
    Activations Density 0.042%

    No Known Activations