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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. 8933
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    oai_token-act-pair · gpt-3.5-turbo

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    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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    Negative Logits
    guard
    -0.92
    guards
    -0.77
    occup
    -0.73
    borgh
    -0.73
    ãĥĦ
    -0.73
    starter
    -0.69
    trap
    -0.68
    gged
    -0.68
    unta
    -0.68
    okers
    -0.68
    POSITIVE LOGITS
     data
    1.22
     transcripts
    1.05
     genomes
    0.98
     texts
    0.97
     databases
    0.97
     files
    0.94
     logs
    0.93
     information
    0.93
     documents
    0.92
     scraps
    0.90
    Activations Density 0.237%

    No Known Activations