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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. 12147
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    Explanations

    specific times of day expressed in "a.m." format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Thoughts
    -0.78
    enance
    -0.70
     Examples
    -0.67
    ELL
    -0.66
    Aid
    -0.63
    Wiki
    -0.62
    Discussion
    -0.62
    Reports
    -0.62
    Attach
    -0.62
    Effects
    -0.61
    POSITIVE LOGITS
    sembly
    1.03
    rouse
    1.02
    merce
    0.94
    ramid
    0.93
     bunch
    0.91
     month
    0.89
     lot
    0.89
     decade
    0.87
    uras
    0.85
    iler
    0.82
    Activations Density 0.162%

    No Known Activations