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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. 5926
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    INDEX
    Explanations

    statements indicating certainty or knowledge about a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal experiences and states of being

    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
     Pediatrics
    -0.70
     understandably
    -0.67
    hee
    -0.64
    enson
    -0.63
     suggests
    -0.62
     suggestion
    -0.62
     insistence
    -0.61
     insists
    -0.60
     dictates
    -0.60
    summary
    -0.60
    POSITIVE LOGITS
     witnessing
    0.90
     lucky
    0.85
     invincible
    0.76
     kindred
    0.76
     outnumbered
    0.73
     wasting
    0.73
    oken
    0.72
     screwed
    0.72
     missing
    0.72
     someday
    0.71
    Activations Density 0.224%

    No Known Activations