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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. 4-RES-JB
    11. 1790
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    Explanations

    numerical information related to comparisons or changes

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ibaba
    -0.83
    abi
    -0.73
    vind
    -0.69
    wait
    -0.68
    ashtra
    -0.67
    uyomi
    -0.67
    achelor
    -0.65
    valued
    -0.63
    etsk
    -0.63
    endas
    -0.62
    POSITIVE LOGITS
     reckoning
    0.72
    umbers
    0.70
     manufacturer
    0.67
     margin
    0.65
     decree
    0.63
     Logged
    0.63
     virtue
    0.60
     margins
    0.60
     ankles
    0.59
     intermediary
    0.58
    Activations Density 0.387%

    No Known Activations