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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. 7-RES-JB
    11. 12379
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    Explanations

    keywords related to news agencies and their activity

    oai_token-act-pair · gpt-3.5-turbo

    references to various news agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    otin
    -0.94
    etsy
    -0.87
    gregation
    -0.77
    weed
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     Lovecraft
    -0.73
    table
    -0.73
    benefit
    -0.71
    roo
    -0.70
    ston
    -0.70
     Summers
    -0.67
    POSITIVE LOGITS
     quoting
    1.01
     quoted
    0.97
     correspondent
    0.91
    ews
    0.84
     outlets
    0.82
     broadcasts
    0.82
     sources
    0.81
     quotes
    0.81
     broadcast
    0.80
     translated
    0.79
    Activations Density 0.172%

    No Known Activations