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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. 17719
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    Explanations

    uncertainty or lack of clarity in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating uncertainty or lack of clarity

    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
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    Negative Logits
     thri
    -0.65
    ĪĴ
    -0.61
     broom
    -0.56
     workspace
    -0.56
     redesigned
    -0.56
    inals
    -0.55
     flourished
    -0.54
     renewed
    -0.53
    manent
    -0.53
     recruitment
    -0.53
    POSITIVE LOGITS
    displayText
    0.82
    afort
    0.82
    .<
    0.80
    .;
    0.77
    .
    0.75
    .?
    0.75
    aretz
    0.73
    .$
    0.73
     ().
    0.71
     yet
    0.70
    Activations Density 0.124%

    No Known Activations