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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. 3-RES-JB
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    Explanations

    technical terms or phrases related to specific methods or procedures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various techniques or methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    riel
    -0.68
    pg
    -0.68
    isle
    -0.65
    host
    -0.63
    present
    -0.63
    ippers
    -0.62
    bek
    -0.62
     Barkley
    -0.61
    zona
    -0.61
    gur
    -0.61
    POSITIVE LOGITS
    ologies
    0.94
     technique
    0.91
     techniques
    0.91
    advertisement
    0.80
     methods
    0.73
    Techn
    0.73
     tricks
    0.72
    OLOGY
    0.71
     Technique
    0.70
    ually
    0.69
    Activations Density 0.017%

    No Known Activations