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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. 11-RES-JB
    11. 1978
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    Explanations

    words related to sports opponents and competition

    oai_token-act-pair · gpt-3.5-turbo

    references to opponents 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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    overe
    -0.71
    mberg
    -0.70
    med
    -0.70
    erd
    -0.69
    rd
    -0.66
    eret
    -0.65
    bourg
    -0.64
    mer
    -0.64
    ahon
    -0.63
     Anniversary
    -0.62
    POSITIVE LOGITS
     batters
    0.79
    ries
    0.72
     combatants
    0.69
     alike
    0.68
     undefeated
    0.68
    cheat
    0.68
    hesis
    0.66
     hitters
    0.66
     unbeaten
    0.65
     Fighting
    0.65
    Activations Density 0.062%

    No Known Activations