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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. 10892
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    Explanations

    instructions or steps

    oai_token-act-pair · gpt-3.5-turbo

    mentions of warnings or advisories related to safety and health

    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
    âĶĢâĶĢâĶĢâĶĢ
    -0.79
    Attach
    -0.74
    _.
    -0.70
     Seller
    -0.68
    )).
    -0.66
    ç«
    -0.64
    REDACTED
    -0.64
    catentry
    -0.62
    External
    -0.62
    DK
    -0.61
    POSITIVE LOGITS
     evacuated
    0.84
     evacuation
    0.78
     shelters
    0.74
    selves
    0.72
     helmets
    0.68
    utterstock
    0.68
     outnumbered
    0.67
     diets
    0.66
     pets
    0.63
     ration
    0.62
    Activations Density 0.972%

    No Known Activations