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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 22634
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    Explanations

    personal narratives mentioning specific places and events

    oai_token-act-pair · gpt-3.5-turbo

    individual experiences and personal anecdotes related to significant events

    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
     Franchise
    -0.74
    Conclusion
    -0.66
    senal
    -0.66
     Defin
    -0.64
     Towards
    -0.64
     Improvement
    -0.63
    Improve
    -0.63
     FINAL
    -0.62
     consolidation
    -0.62
     Statements
    -0.61
    POSITIVE LOGITS
     startled
    1.02
     politely
    0.96
     smelled
    0.92
     puzzled
    0.92
     appalled
    0.86
     astonished
    0.86
     amused
    0.85
     horrified
    0.85
     intrigued
    0.85
     greeted
    0.83
    Activations Density 1.021%

    No Known Activations