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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. 10-RES-JB
    11. 23419
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    Explanations

    instances of numbers and dates

    oai_token-act-pair · gpt-3.5-turbo

    statements reflecting inequality or disparity between groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ËĪ
    -0.71
    xtap
    -0.64
    UGC
    -0.58
    wcs
    -0.56
    DragonMagazine
    -0.53
    ortium
    -0.53
    surprisingly
    -0.51
     LOT
    -0.49
     Boone
    -0.48
    ãĥ¯ãĥ³
    -0.48
    POSITIVE LOGITS
    ."
    2.16
    .'"
    2.09
    ,'"
    2.09
    ',"
    2.08
    .")
    2.04
    ."[
    2.04
    )."
    1.99
    '."
    1.99
    ".
    1.98
    .,"
    1.98
    Activations Density 1.022%

    No Known Activations