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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. 3293
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    Explanations

    terms related to providing closure or resolution in discussions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope and reassurance

    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
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    No Comments

    Negative Logits
    Dialogue
    -0.68
     hers
    -0.63
     homicide
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    otom
    -0.58
     theirs
    -0.57
    ansas
    -0.56
     riots
    -0.56
     elim
    -0.54
    .""
    -0.54
     guiActiveUnfocused
    -0.53
    POSITIVE LOGITS
     Conclusion
    0.95
    ktop
    0.93
     Raspberry
    0.86
     ®
    0.78
    ï¸
    0.74
     Designs
    0.74
    aspberry
    0.74
     Arduino
    0.73
     Finally
    0.70
     Tutorial
    0.70
    Activations Density 0.855%

    No Known Activations