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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. 24071
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    Explanations

    words related to satisfaction or dissatisfaction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to satisfaction and dissatisfaction

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    RN
    -0.68
    conservancy
    -0.66
     Tina
    -0.60
    bold
    -0.60
     misc
    -0.59
     Torn
    -0.57
    END
    -0.57
    sung
    -0.57
     prone
    -0.56
    ker
    -0.55
    POSITIVE LOGITS
    actory
    1.06
    atisf
    1.02
    iated
    1.01
    iable
    0.96
     Satisf
    0.92
     satisfied
    0.91
    ial
    0.90
     satisfaction
    0.86
    iation
    0.85
    iability
    0.85
    Activations Density 0.061%

    No Known Activations