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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. 2-RES-JB
    11. 11126
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    Explanations

    adjectives conveying a strong or intense warning or emotion

    oai_token-act-pair · gpt-3.5-turbo

    terms conveying strong warnings or serious admonitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.78
    vernment
    -0.73
    RESULTS
    -0.72
    rity
    -0.70
    xtap
    -0.70
    ETF
    -0.68
    ADVERTISEMENT
    -0.68
    Elect
    -0.66
    -----------
    -0.65
    Winner
    -0.65
    POSITIVE LOGITS
     stern
    1.21
     discipl
    0.96
     reprim
    0.88
     glim
    0.83
    unci
    0.82
     rebuke
    0.81
     traged
    0.81
     face
    0.75
     frown
    0.75
     guiActiveUn
    0.74
    Activations Density 0.010%

    No Known Activations