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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. 11-RES-JB
    11. 13051
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    Explanations

    adjectives and adverbs expressing emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional reactions and feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     specialization
    -0.73
    imum
    -0.73
     reuse
    -0.66
     Workshop
    -0.65
     scrimmage
    -0.65
     Gutenberg
    -0.65
     Competition
    -0.65
     Guidelines
    -0.65
    ellation
    -0.64
     quotas
    -0.64
    POSITIVE LOGITS
     shocked
    1.78
     stunned
    1.78
     horrified
    1.78
     appalled
    1.78
     astonished
    1.72
     amazed
    1.67
     outraged
    1.66
     disgusted
    1.60
     saddened
    1.60
     alarmed
    1.58
    Activations Density 0.368%

    No Known Activations