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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. 1-RES-JB
    11. 8936
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    Explanations

    mentions of mills

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of mills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oÄŁ
    -0.78
     Malays
    -0.68
    compan
    -0.66
    vol
    -0.65
    pri
    -0.64
     prime
    -0.64
    ĻĤ
    -0.63
    bal
    -0.63
    zan
    -0.62
     peer
    -0.61
    POSITIVE LOGITS
    ills
    1.05
    iard
    0.97
    avascript
    0.94
    uminati
    0.91
    inger
    0.87
    chool
    0.84
    urance
    0.83
    espie
    0.82
    ibrary
    0.82
    uracy
    0.82
    Activations Density 0.005%

    No Known Activations