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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. 14347
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    Explanations

    negations where a particular action will not be taken

    oai_token-act-pair · gpt-3.5-turbo

    negations or expressions of refusal

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Nice
    -0.67
     Measures
    -0.62
    å¥
    -0.61
     assessments
    -0.60
    wrapper
    -0.59
    Intern
    -0.59
     lousy
    -0.58
    GROUND
    -0.58
    plates
    -0.57
     Seasons
    -0.57
    POSITIVE LOGITS
     necessarily
    1.27
     tolerate
    1.17
    icably
    1.15
     hesitate
    1.11
    ogle
    1.04
    hin
    1.00
     relent
    1.00
     allow
    0.98
     be
    0.97
    icable
    0.95
    Activations Density 0.083%

    No Known Activations