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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. 9-RES-JB
    11. 6118
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    Explanations

    statistics and numbers related to sports

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uca
    -0.77
    ALLY
    -0.76
    ĸļ
    -0.71
     Vance
    -0.69
    LER
    -0.67
    tainment
    -0.67
    INGTON
    -0.67
    utor
    -0.65
    yna
    -0.65
    ona
    -0.64
    POSITIVE LOGITS
     appearances
    0.84
     qualifying
    0.81
     shots
    0.81
     trips
    0.80
     qualifiers
    0.80
     occasions
    0.79
     games
    0.78
     endings
    0.78
     matchups
    0.77
     occurrences
    0.77
    Activations Density 0.113%

    No Known Activations