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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. 11589
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    Explanations

    descriptions or sequences of actions in crime-related scenarios

    oai_token-act-pair · gpt-3.5-turbo

    sentence endings or punctuation in narratives describing incidents

    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
     enriched
    -0.98
     pardon
    -0.88
     extinct
    -0.88
     microbiome
    -0.88
     boycot
    -0.87
     welcome
    -0.87
     affili
    -0.86
     pse
    -0.82
     concess
    -0.82
     endors
    -0.80
    POSITIVE LOGITS
     Moments
    1.47
     Seconds
    1.44
     Then
    1.38
     Witnesses
    1.37
     Eventually
    1.37
     Officers
    1.36
     When
    1.35
     Suddenly
    1.34
     Shortly
    1.33
     Afterwards
    1.30
    Activations Density 0.191%

    No Known Activations