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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. 3-RES-JB
    11. 12624
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    Explanations

    mentions of university presses

    oai_token-act-pair · gpt-3.5-turbo

    references to various university presses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Scotia
    -0.71
     Trayvon
    -0.69
    razil
    -0.67
     dentist
    -0.66
    oshi
    -0.64
     tooth
    -0.63
     Brit
    -0.63
     Raymond
    -0.62
     Finn
    -0.61
    tesy
    -0.61
    POSITIVE LOGITS
    urized
    0.92
     Press
    0.91
     Coverage
    0.90
    press
    0.90
    Press
    0.84
    lishing
    0.83
    ãĤ¦ãĤ¹
    0.82
    ured
    0.81
     Journals
    0.80
    ername
    0.76
    Activations Density 0.015%

    No Known Activations