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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. 10-RES-JB
    11. 12638
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    Explanations

    assurances or expressions of confidence in statements

    oai_token-act-pair · gpt-3.5-turbo

    expressions of certainty or assurance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.73
    idas
    -0.69
     exting
    -0.69
    acial
    -0.68
    intosh
    -0.68
    ð
    -0.67
    foreseen
    -0.66
    INT
    -0.66
    ebra
    -0.65
    inator
    -0.64
    POSITIVE LOGITS
     there
    0.95
     glad
    0.87
     they
    0.87
     plenty
    0.86
     someday
    0.83
     nobody
    0.79
     many
    0.75
     someone
    0.73
     somebody
    0.73
     you
    0.72
    Activations Density 0.038%

    No Known Activations