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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. 1298
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating high levels of concern or seriousness

    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
     censored
    -0.96
     unspecified
    -0.87
     seized
    -0.83
     exiled
    -0.83
     detained
    -0.81
     staged
    -0.79
     sworn
    -0.79
     pending
    -0.78
     committed
    -0.78
     inaug
    -0.77
    POSITIVE LOGITS
    Sometimes
    1.72
    Consider
    1.66
    Avoid
    1.65
    Examples
    1.62
    Often
    1.61
    Learn
    1.60
    Understanding
    1.58
    Knowing
    1.54
    Types
    1.53
    Being
    1.53
    Activations Density 0.430%

    No Known Activations