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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. 6042
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    Explanations

    references to the name "Fa" followed by various letters or words

    oai_token-act-pair · gpt-3.5-turbo

    the mention of a specific entity or brand name

    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
    LESS
    -0.75
    tics
    -0.73
    rawdownloadcloneembedreportprint
    -0.72
    FTWARE
    -0.71
    geist
    -0.68
    enegger
    -0.68
    pin
    -0.68
    DOWN
    -0.67
    Magikarp
    -0.67
    frames
    -0.65
    POSITIVE LOGITS
    qs
    1.04
    uthor
    0.99
    resh
    0.98
    Ze
    0.97
    emia
    0.97
    izon
    0.92
    enza
    0.89
    ldom
    0.88
    ruits
    0.85
    ignt
    0.84
    Activations Density 0.015%

    No Known Activations