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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. 1326
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    Explanations

    instances of physical impact or harm

    oai_token-act-pair · gpt-3.5-turbo

    instances of physical impact or injury

    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
     Lieberman
    -0.67
     Conversation
    -0.62
     Watson
    -0.61
     Domain
    -0.61
     enrichment
    -0.60
     Integration
    -0.58
     Etsy
    -0.58
     adop
    -0.57
     township
    -0.56
     Tribunal
    -0.56
    POSITIVE LOGITS
     by
    1.07
     senseless
    1.03
    by
    0.94
     unconscious
    0.94
    bys
    0.93
     aback
    0.93
     badly
    0.92
    wic
    0.91
    dead
    0.90
     severely
    0.82
    Activations Density 0.092%

    No Known Activations