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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. 8-RES-JB
    11. 10639
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    Explanations

    emotional reactions indicating strong feelings of disappointment or shock

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotional reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vre
    -0.74
    aceutical
    -0.74
    imum
    -0.73
     Attribution
    -0.72
     Flavoring
    -0.72
     Logo
    -0.70
    vernment
    -0.69
    20439
    -0.65
     Formation
    -0.65
     Transactions
    -0.64
    POSITIVE LOGITS
     saddened
    1.24
     nervous
    1.21
     anxious
    1.15
     disgusted
    1.14
     horrified
    1.11
     embarrassed
    1.11
     fearful
    1.10
     frightened
    1.09
     angry
    1.08
     ashamed
    1.08
    Activations Density 0.421%

    No Known Activations