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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
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    Explanations

    references to the word "Tiger", specifically related to the golfer Tiger Woods

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Tiger" in various contexts

    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
    orate
    -0.77
    chool
    -0.72
    APD
    -0.71
    buquerque
    -0.70
    nesota
    -0.70
    lectic
    -0.70
    EGIN
    -0.70
    earch
    -0.68
    creen
    -0.67
    Constructed
    -0.66
    POSITIVE LOGITS
     Tiger
    1.11
     Woods
    0.97
     sharks
    0.87
     Ducks
    0.85
    hawk
    0.84
    opard
    0.82
     Lily
    0.80
    birds
    0.79
    fish
    0.79
     Tracks
    0.78
    Activations Density 0.012%

    No Known Activations