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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. 4212
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    keywords that describe written content, particularly focusing on the word "post"

    oai_token-act-pair · gpt-3.5-turbo
    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
    estial
    -0.77
     Orchestra
    -0.71
    ãĤ¤ãĥĪ
    -0.67
     bands
    -0.64
     leukemia
    -0.63
     Flavoring
    -0.62
     destro
    -0.62
     Bett
    -0.61
     Qiao
    -0.61
     TVs
    -0.61
    POSITIVE LOGITS
    mortem
    1.41
    gres
    1.37
    doctoral
    1.15
    hum
    1.12
    mort
    1.07
    greSQL
    1.03
    doc
    1.02
    natal
    1.00
    modern
    0.98
    script
    0.97
    Activations Density 0.035%

    No Known Activations