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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. 8-RES-JB
    11. 7951
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    INDEX
    Explanations

    superlatives and adjectives emphasizing extreme degrees or intensities

    oai_token-act-pair · gpt-3.5-turbo

    superlative and comparative adjectives indicating extremes or minimal amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hots
    -0.80
    zie
    -0.78
    apter
    -0.77
    zar
    -0.70
    saw
    -0.69
    ilee
    -0.69
    starter
    -0.68
    gov
    -0.68
    tch
    -0.68
    king
    -0.67
    POSITIVE LOGITS
     imaginable
    1.12
     conceivable
    1.04
     possible
    0.92
     bidder
    0.85
     necessities
    0.83
     bits
    0.83
     practicable
    0.80
     impulses
    0.80
     essentials
    0.80
    est
    0.78
    Activations Density 0.151%

    No Known Activations