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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. 4806
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    Explanations

    adjectives describing negative or violent events

    oai_token-act-pair · gpt-3.5-turbo

    words that describe violence, trauma, and extreme situations

    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
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    No Comments

    Negative Logits
    ernels
    -0.94
    respect
    -0.83
    heit
    -0.80
    osponsors
    -0.77
     Defin
    -0.74
    sama
    -0.74
    abiding
    -0.74
    anguages
    -0.74
    orthy
    -0.73
    reasonable
    -0.72
    POSITIVE LOGITS
     outburst
    1.04
     showdown
    0.99
     incident
    0.97
     altercation
    0.97
     confrontation
    0.95
     brawl
    0.94
     ordeal
    0.94
     crackdown
    0.94
     ambush
    0.93
     outing
    0.91
    Activations Density 0.232%

    No Known Activations