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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. 9-RES-JB
    11. 1717
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    INDEX
    Explanations

    negative statements or denials

    oai_token-act-pair · gpt-3.5-turbo

    negations and statements of disbelief or uncertainty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thankfully
    -0.68
     doubtless
    -0.68
     beautifully
    -0.66
     Kinnikuman
    -0.64
     wonderfully
    -0.63
    ersed
    -0.61
     å¤
    -0.61
    robat
    -0.61
    footed
    -0.60
     mediocre
    -0.60
    POSITIVE LOGITS
     condone
    1.00
     regret
    0.86
     regrets
    0.86
    displayText
    0.80
     prejud
    0.80
    intend
    0.78
     necessarily
    0.77
     prejudice
    0.76
    earing
    0.76
     intend
    0.76
    Activations Density 0.200%

    No Known Activations