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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. 11-RES-JB
    11. 11731
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    Explanations

    text related to assistance or help in various fields like risk assessment, data analysis, behavioral insights, research, development, security, and account management

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with assistance and understanding complex issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minus
    -0.73
    bare
    -0.72
    SourceFile
    -0.70
    âĶģ
    -0.70
    rawdownloadcloneembedreportprint
    -0.68
    shr
    -0.66
    iannopoulos
    -0.66
    esc
    -0.64
    Shut
    -0.62
    ylum
    -0.62
    POSITIVE LOGITS
     insights
    1.19
     policymakers
    1.17
     conclusions
    1.15
     pinpoint
    1.11
     insight
    1.06
     infer
    1.06
     predicting
    1.05
     predictions
    1.04
     determining
    1.03
     understanding
    1.03
    Activations Density 0.436%

    No Known Activations