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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. 0-RES-JB
    11. 2622
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    Explanations

    references to physical spaces or locations, specifically focusing on arenas

    oai_token-act-pair · gpt-3.5-turbo

    references to venues or places where events take place

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    snap
    -0.69
    ptoms
    -0.66
     Mic
    -0.65
    parents
    -0.64
     Kenyan
    -0.63
    Lie
    -0.63
    Thomas
    -0.61
    olics
    -0.61
    ajor
    -0.61
     Cum
    -0.61
    POSITIVE LOGITS
     arena
    3.81
     arenas
    2.98
     Arena
    2.05
    Aren
    1.66
     Coliseum
    1.62
    iseum
    1.57
     stadium
    1.53
     amph
    1.39
     venue
    1.39
     battleground
    1.32
    Activations Density 0.011%

    No Known Activations