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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. 13469
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    Explanations

    Greek letter organization names

    oai_token-act-pair · gpt-3.5-turbo

    references to Sikh organizations and cultural elements

    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
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    Negative Logits
    er
    -1.17
    ers
    -1.13
    ered
    -1.04
    iard
    -0.91
    ering
    -0.86
    erent
    -0.86
    oons
    -0.83
    eh
    -0.82
    eric
    -0.82
    eri
    -0.81
    POSITIVE LOGITS
    ngth
    0.97
    pling
    0.92
    prise
    0.88
    pled
    0.76
    pora
    0.74
    asonic
    0.72
    brance
    0.72
    prises
    0.71
    istani
    0.69
    ãĥ¥
    0.67
    Activations Density 0.112%

    No Known Activations