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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. 6-RES-JB
    11. 20298
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    keywords related to lists or itemizations

    oai_token-act-pair · gpt-3.5-turbo

    sequences of the number "12" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ifully
    -0.78
    Ô
    -0.76
     tremend
    -0.75
    ileaks
    -0.74
    anooga
    -0.74
    ierrez
    -0.73
    chwitz
    -0.72
     behavi
    -0.72
    icist
    -0.71
    osphere
    -0.71
    POSITIVE LOGITS
    91
    0.99
    34
    0.98
    650
    0.97
    noon
    0.95
    87
    0.94
    03
    0.94
    02
    0.93
    92
    0.93
    94
    0.93
    04
    0.92
    Activations Density 0.043%

    No Known Activations