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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. 9319
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    INDEX
    Explanations

    mentions of power-related activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to "power plays" in sports 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
    romeda
    -0.85
     Debor
    -0.73
     Von
    -0.71
     Bagg
    -0.70
    eryl
    -0.70
    roma
    -0.70
    eret
    -0.70
    ordan
    -0.65
     YEAR
    -0.65
    ALK
    -0.65
    POSITIVE LOGITS
    houses
    0.94
    stroke
    0.93
     outage
    0.93
    lifting
    0.89
    train
    0.84
    Reviewer
    0.79
    grid
    0.79
    bang
    0.79
    ups
    0.78
     surge
    0.77
    Activations Density 0.028%

    No Known Activations