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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. 971
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    Explanations

    mentions of slides in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to visual presentations or slides

    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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    Negative Logits
    orate
    -0.95
    raising
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    rification
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    omes
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    etheless
    -0.71
    ilee
    -0.69
    esy
    -0.69
    ington
    -0.67
    sts
    -0.66
    elf
    -0.66
    POSITIVE LOGITS
    creen
    0.88
    itzer
    0.84
     slide
    0.84
    boards
    0.79
     slope
    0.79
     slides
    0.78
     Canaver
    0.76
     maj
    0.74
    hare
    0.74
    board
    0.73
    Activations Density 0.046%

    No Known Activations