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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. 12-RES-JB
    11. 3816
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    Explanations

    information related to sports events, including matchups and fighter statistics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    numerical data related to sports statistics and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.60
     footing
    -0.59
     vic
    -0.56
    cised
    -0.55
    regor
    -0.54
    panic
    -0.53
     combust
    -0.53
     synchronization
    -0.52
     sounding
    -0.51
    antically
    -0.51
    POSITIVE LOGITS
     pts
    0.85
    PT
    0.81
    PLA
    0.77
     PTS
    0.77
    KO
    0.77
     NC
    0.75
    HR
    0.75
    NT
    0.75
    RD
    0.72
    *)
    0.72
    Activations Density 0.038%

    No Known Activations