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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. 23373
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    Explanations

    names, specifically the name "Kurt" with varying intensities indicating different levels of relevance or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals named Kurt

    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
    cale
    -0.76
    Capital
    -0.73
     cyn
    -0.69
    pring
    -0.68
    advertisement
    -0.65
    grading
    -0.64
    uploads
    -0.62
     circ
    -0.62
    ebus
    -0.62
    SHARE
    -0.62
    POSITIVE LOGITS
     Von
    1.20
    zman
    1.12
     Kurt
    1.12
     Angle
    0.94
     Schwarz
    0.91
     Hein
    0.87
     Cob
    0.86
    ãĥĦ
    0.85
     Braun
    0.83
     Os
    0.78
    Activations Density 0.003%

    No Known Activations