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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. 14446
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    Explanations

    references to dates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 22 in various 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
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    No Comments

    Negative Logits
    awaru
    -0.81
    amaru
    -0.77
    owered
    -0.75
    ramid
    -0.73
    herer
    -0.71
    achu
    -0.71
    chwitz
    -0.71
    orem
    -0.71
    ãĥ´ãĤ¡
    -0.70
    herty
    -0.70
    POSITIVE LOGITS
    nd
    1.59
    ND
    0.90
    50
    0.86
    80
    0.84
    nces
    0.82
    holm
    0.80
    mph
    0.78
    00
    0.76
    pine
    0.75
    60
    0.72
    Activations Density 0.018%

    No Known Activations