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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. 19986
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    Explanations

    specific references to news outlets

    oai_token-act-pair · gpt-3.5-turbo

    references to specific newspapers or media outlets

    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
    Not in Any Lists

    No Comments

    Negative Logits
    chwitz
    -0.85
    achev
    -0.73
     increments
    -0.70
     breathing
    -0.68
    amiya
    -0.67
     bonding
    -0.64
     mine
    -0.64
    borgh
    -0.64
     reclaimed
    -0.64
     cheating
    -0.63
    POSITIVE LOGITS
    Times
    1.04
     Herald
    1.01
     Gazette
    0.97
    Mail
    0.93
    Doctors
    0.91
    News
    0.89
     Courier
    0.87
     Telegraph
    0.86
    Dispatch
    0.84
    Sent
    0.83
    Activations Density 0.072%

    No Known Activations