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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. 9-RES-JB
    11. 7190
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    INDEX
    Explanations

    phrases related to numbers and measurements

    oai_token-act-pair · gpt-3.5-turbo

    topics related to health, specifically concerning medical conditions and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.64
    itialized
    -0.61
    Downloadha
    -0.57
    netflix
    -0.57
    actionDate
    -0.56
    ropolitan
    -0.54
    guyen
    -0.53
     à¨
    -0.51
    icio
    -0.50
    rocal
    -0.50
    POSITIVE LOGITS
    .
    1.09
    .[
    1.05
    .}
    0.97
    .'
    0.96
    +.
    0.94
    !.
    0.92
    .(
    0.89
    .</
    0.89
    .]
    0.88
     anyways
    0.87
    Activations Density 1.442%

    No Known Activations