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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. 17975
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    INDEX
    Explanations

    numerical superlatives, specifically the highest value

    oai_token-act-pair · gpt-3.5-turbo

    references to high levels of achievement or top rankings 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
     Prompt
    -0.71
     Parkinson
    -0.67
    agra
    -0.65
    prototype
    -0.64
     Braun
    -0.63
     Canaver
    -0.63
     Katy
    -0.62
    ching
    -0.61
     Shant
    -0.61
     Frankenstein
    -0.60
    POSITIVE LOGITS
     bidder
    1.09
     highest
    0.89
    highest
    0.89
     rated
    0.87
     pinnacle
    0.86
     agre
    0.80
    akespe
    0.80
    worst
    0.80
     practicable
    0.79
    rity
    0.79
    Activations Density 0.010%

    No Known Activations