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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. 3748
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    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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    Negative Logits
     someday
    -0.68
     gobl
    -0.62
    orc
    -0.62
     destro
    -0.61
     pregn
    -0.61
    chwitz
    -0.59
     characterization
    -0.59
     perenn
    -0.58
    uctor
    -0.57
     extermin
    -0.57
    POSITIVE LOGITS
     UTC
    0.89
    pm
    0.86
     EDT
    0.86
     GMT
    0.84
     hrs
    0.80
    UTC
    0.77
    GMT
    0.76
     IST
    0.75
     pm
    0.74
     CST
    0.73
    Activations Density 0.056%

    No Known Activations