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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. 8-RES-JB
    11. 8423
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    Explanations

    numbers and technical terms

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or identifiers related to various objects, products, or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    board
    -0.77
    mast
    -0.76
    istically
    -0.76
    names
    -0.75
    esville
    -0.74
    laws
    -0.71
    lined
    -0.70
    coat
    -0.67
    hol
    -0.67
    wart
    -0.66
    POSITIVE LOGITS
    288
    0.73
    MENTS
    0.73
    ADRA
    0.71
    392
    0.70
     MHz
    0.69
    368
    0.68
    361
    0.67
    692
    0.67
    493
    0.67
    643
    0.66
    Activations Density 0.097%

    No Known Activations