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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. 12048
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    Explanations

    names with the abbreviation "SI"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Sports Illustrated" and its related content

    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
    icative
    -0.77
    side
    -0.74
    ions
    -0.70
    runtime
    -0.69
    ilater
    -0.69
    sets
    -0.69
    places
    -0.68
    killers
    -0.67
    killer
    -0.66
    blast
    -0.66
    POSITIVE LOGITS
    FFER
    0.92
    OLOG
    0.92
    pling
    0.90
    pler
    0.86
    SI
    0.85
    OLOGY
    0.82
    YA
    0.82
    EG
    0.80
    UE
    0.80
    OSH
    0.79
    Activations Density 0.011%

    No Known Activations