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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 23892
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    Explanations

    names of specific locations or buildings, potentially related to sports or events happening there

    oai_token-act-pair · gpt-3.5-turbo

    specific locations and events related to sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.95
    schild
    -0.93
     Ibid
    -0.81
    ibliography
    -0.80
    ppo
    -0.76
    ographies
    -0.76
    kefeller
    -0.76
     poems
    -0.74
     photoc
    -0.74
    ographers
    -0.73
    POSITIVE LOGITS
     Athletic
    1.14
     Wolves
    1.11
     League
    1.05
     Sports
    1.03
     Sporting
    1.01
     Esports
    0.98
     league
    0.98
     teammate
    0.98
     Coliseum
    0.98
     Lions
    0.97
    Activations Density 0.454%

    No Known Activations