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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. 9055
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    Explanations

    descriptions of specific actions and events

    oai_token-act-pair · gpt-3.5-turbo

    references to dangerous behavior while using mobile devices

    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
     univers
    -0.71
    framework
    -0.70
     unison
    -0.67
    roads
    -0.67
     divisions
    -0.67
     sequels
    -0.66
     unification
    -0.65
    universal
    -0.65
     empires
    -0.64
     fruitful
    -0.64
    POSITIVE LOGITS
     unlawfully
    1.06
     illegally
    1.00
     lawfully
    0.96
    angering
    0.95
     violated
    0.95
     voluntarily
    0.93
     intoxicated
    0.93
     exercising
    0.91
     wandered
    0.90
     tresp
    0.90
    Activations Density 1.009%

    No Known Activations