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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. 7-RES-JB
    11. 11573
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    Explanations

    mentions of specific individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "and"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.76
    ppa
    -0.67
    acters
    -0.60
    zai
    -0.59
    verage
    -0.58
     mosaic
    -0.57
    cules
    -0.56
    ================================================================
    -0.56
     Isles
    -0.56
    pora
    -0.55
    POSITIVE LOGITS
    ividual
    1.12
    isl
    1.02
    icated
    0.96
    orf
    0.94
    s
    0.93
    icative
    0.93
    ocument
    0.91
    ication
    0.88
    olph
    0.87
    ouble
    0.86
    Activations Density 0.023%

    No Known Activations