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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. 8-RES-JB
    11. 1740
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    Explanations

    text related to confidential or sensitive information

    oai_token-act-pair · gpt-3.5-turbo

    detailed discussions of prepared statements or documents for official context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.73
    ibo
    -0.69
     ðŁ
    -0.69
     âĿ
    -0.69
     ðŁij
    -0.64
    ----------------------------------------------------------------
    -0.62
    ktop
    -0.62
     Pwr
    -0.61
     âĶ
    -0.60
     Accessories
    -0.60
    POSITIVE LOGITS
     memos
    0.90
     discredited
    0.87
     dossier
    0.87
     supposedly
    0.83
     methodological
    0.82
     purported
    0.81
     inaccur
    0.81
     purportedly
    0.80
     factual
    0.80
    papers
    0.79
    Activations Density 1.158%

    No Known Activations