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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. 9-RES-JB
    11. 8998
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    Explanations

    prepositions or prepositional phrases indicating movement or direction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating action, consequence, or relational contexts in various scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reckoned
    -0.73
     ashore
    -0.70
     irrespective
    -0.69
     psychiat
    -0.67
     contrace
    -0.67
     conclud
    -0.66
     totality
    -0.63
     onwards
    -0.62
     rul
    -0.62
     helicop
    -0.61
    POSITIVE LOGITS
     whistleblowers
    0.64
     Organizations
    0.61
    someone
    0.59
     firefighters
    0.58
     Volunteers
    0.58
    compan
    0.56
     researchers
    0.56
     protesters
    0.55
     opponents
    0.55
     companies
    0.55
    Activations Density 0.678%

    No Known Activations