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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. 6839
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    Explanations

    mentions of individuals engaged in conflict or combat situations

    oai_token-act-pair · gpt-3.5-turbo

    references to combatants or fighters in various contexts

    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
     Westminster
    -0.89
     Celestial
    -0.71
     Occ
    -0.71
    Pont
    -0.68
    PER
    -0.67
    PO
    -0.67
     Sussex
    -0.67
     NRS
    -0.66
     Cascade
    -0.65
     Dull
    -0.64
    POSITIVE LOGITS
     fighters
    1.24
     fighter
    0.93
    fighters
    0.92
    hip
    0.90
    hips
    0.88
    fights
    0.83
     Fighters
    0.83
    wana
    0.81
    hammad
    0.80
    chers
    0.79
    Activations Density 0.009%

    No Known Activations