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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. 2-RES-JB
    11. 4253
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    Explanations

    sports statistics related to rebounds and assists in games

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to basketball performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.76
    scape
    -0.72
    tre
    -0.62
    Reviewer
    -0.61
    enum
    -0.61
    environment
    -0.60
    Else
    -0.59
     resort
    -0.59
    coat
    -0.59
     Anglo
    -0.59
    POSITIVE LOGITS
    poons
    0.93
    peed
    0.75
     apiece
    0.74
     interceptions
    0.73
    oppable
    0.73
    ception
    0.73
    uggest
    0.70
     receptions
    0.70
     defenseman
    0.69
    ourcing
    0.69
    Activations Density 0.055%

    No Known Activations