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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. 20026
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    INDEX
    Explanations

    information related to sports-first such as scores, performance, and accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to occurrences of "first" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    morph
    -0.74
    bos
    -0.73
    mund
    -0.71
    pers
    -0.69
     Buildings
    -0.69
    haus
    -0.68
    ovi
    -0.67
    Effects
    -0.66
    stocks
    -0.66
     Canaver
    -0.65
    POSITIVE LOGITS
     baseman
    1.11
     responders
    0.93
     inning
    0.89
     scrimmage
    0.86
     glance
    0.81
     installment
    0.81
     season
    0.78
     outing
    0.78
     opponent
    0.77
     instinct
    0.76
    Activations Density 0.063%

    No Known Activations