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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. 4-RES-JB
    11. 20397
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    Explanations

    phrases related to physical conflict or competition

    oai_token-act-pair · gpt-3.5-turbo

    references to an "opponent" in a competitive context

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

    No Comments

    Negative Logits
    olia
    -0.73
     Loch
    -0.71
    mberg
    -0.69
    acca
    -0.69
    ocratic
    -0.66
    MER
    -0.65
    redits
    -0.62
    oots
    -0.61
    stones
    -0.60
    Crime
    -0.60
    POSITIVE LOGITS
     opponent
    0.94
     batters
    0.91
    onent
    0.86
     foe
    0.85
     opponents
    0.80
     combatants
    0.74
     Opp
    0.73
    dayName
    0.72
     vanquished
    0.69
     adversary
    0.68
    Activations Density 0.022%

    No Known Activations