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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. 10475
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    Explanations

    references to gardening and outdoor activities

    oai_token-act-pair · gpt-3.5-turbo

    references to gardening and the related activities

    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
     Terrorism
    -0.70
     Regulatory
    -0.70
    Reason
    -0.69
     Impact
    -0.68
     Investigative
    -0.67
     DOI
    -0.67
     unequivocally
    -0.66
    Region
    -0.66
     Analyst
    -0.66
     incumbent
    -0.64
    POSITIVE LOGITS
     picnic
    1.33
     snacks
    1.18
     decorations
    1.14
     dolls
    1.13
     toys
    1.11
     patio
    1.10
     decor
    1.09
     blankets
    1.09
     dinners
    1.08
     towels
    1.08
    Activations Density 0.967%

    No Known Activations