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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. 2738
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    Explanations

    references to specific time intervals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "hour" and its variants

    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
    reditary
    -0.76
    imaru
    -0.73
    LECT
    -0.71
    raviolet
    -0.70
     Causes
    -0.69
    apons
    -0.68
    ortium
    -0.65
    hess
    -0.63
    ignty
    -0.63
    Shock
    -0.62
    POSITIVE LOGITS
    glass
    1.26
    endment
    0.92
     ILCS
    0.86
    neapolis
    0.77
    bnb
    0.76
    wise
    0.76
    worm
    0.74
     commute
    0.73
    ï¸
    0.71
    long
    0.70
    Activations Density 0.015%

    No Known Activations