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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. 16578
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    INDEX
    Explanations

    common occurrences or elements mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe common occurrences or characteristics

    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
    ceans
    -0.97
    atever
    -0.91
    owell
    -0.82
    phabet
    -0.78
    usalem
    -0.77
    psey
    -0.75
    CLASSIFIED
    -0.73
    gemony
    -0.73
    mson
    -0.70
    ADRA
    -0.68
    POSITIVE LOGITS
     misconception
    1.14
    wealth
    1.12
     occurrence
    1.11
     denomin
    1.09
     misconceptions
    0.94
     occurrences
    0.93
     ancestor
    0.90
    alities
    0.89
     mistakes
    0.89
     culprit
    0.86
    Activations Density 0.069%

    No Known Activations