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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. 1-RES-JB
    11. 1979
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    Explanations

    mentions of a specific place or venue - "Arena" in this case

    oai_token-act-pair · gpt-3.5-turbo

    mentions of arenas or venues associated with events and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    teenth
    -0.74
    orders
    -0.72
    ths
    -0.71
    dit
    -0.70
    mitt
    -0.70
    mission
    -0.69
    nee
    -0.68
    lying
    -0.67
    armed
    -0.67
    arming
    -0.67
    POSITIVE LOGITS
     Arena
    1.08
    Aren
    1.03
     arena
    0.89
     Coliseum
    0.89
     Royale
    0.87
     arenas
    0.85
    Net
    0.84
    adium
    0.82
    eers
    0.82
    rade
    0.79
    Activations Density 0.005%

    No Known Activations