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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. 15069
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    Explanations

    phrases related to regular or common activities

    oai_token-act-pair · gpt-3.5-turbo

    references to regular activities or patterns in daily life

    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
    burgh
    -0.79
    horn
    -0.74
    stocks
    -0.73
    kers
    -0.72
    wit
    -0.71
    ileaks
    -0.71
    oras
    -0.70
    avin
    -0.70
    egal
    -0.68
    gow
    -0.68
    POSITIVE LOGITS
     maintenance
    1.09
     routine
    1.08
     routines
    0.94
    ized
    0.89
    ALLY
    0.84
    ised
    0.81
     procedure
    0.81
     regimen
    0.80
     checks
    0.80
     tasks
    0.79
    Activations Density 0.045%

    No Known Activations