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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. 1691
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    Explanations

    expressions of extreme positivity or admiration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of admiration and affection towards various subjects

    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
    Not in Any Lists

    No Comments

    Negative Logits
     cautioned
    -0.82
     dispute
    -0.82
     caution
    -0.81
     casualty
    -0.80
     grievances
    -0.78
     disputed
    -0.76
     inaccur
    -0.75
     caveats
    -0.73
     disagreements
    -0.73
     Majority
    -0.72
    POSITIVE LOGITS
    !!
    1.04
    !!!!!
    1.02
    !!!!
    1.01
    !!!
    0.97
     gorgeous
    0.97
     amazing
    0.96
     wow
    0.95
    !!!!!!!!
    0.94
    ðŁĺ
    0.90
    Amazing
    0.89
    Activations Density 0.715%

    No Known Activations