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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. 800
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    INDEX
    Explanations

    phrases or sentences ending with a period

    oai_token-act-pair · gpt-3.5-turbo

    statements of skepticism or doubt

    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
     tremend
    -0.76
    hesda
    -0.66
     levers
    -0.66
     exposures
    -0.65
     intakes
    -0.65
     sleeper
    -0.64
     glim
    -0.63
     unsus
    -0.63
     hous
    -0.63
    vable
    -0.62
    POSITIVE LOGITS
     "[
    1.47
     Speaking
    1.35
     "'
    1.32
     "(
    1.31
     "
    1.31
     Asked
    1.27
     "@
    1.27
     He
    1.27
     "#
    1.25
     ""
    1.20
    Activations Density 0.329%

    No Known Activations