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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. 10-RES-JB
    11. 24550
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    Explanations

    TV station names and channel numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to news outlets and their reporting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apache
    -0.69
     ¥
    -0.68
    aldehyde
    -0.67
     bloom
    -0.66
    nyder
    -0.63
    wikipedia
    -0.63
     passages
    -0.62
     FML
    -0.61
    ocene
    -0.61
    acca
    -0.60
    POSITIVE LOGITS
     Investig
    1.09
     News
    0.91
    Channel
    0.80
    TV
    0.80
    CTV
    0.79
    Ãį
    0.78
    ewitness
    0.77
     broadcasts
    0.77
     Investigative
    0.77
    VB
    0.76
    Activations Density 0.065%

    No Known Activations