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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. 6044
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    Explanations

    mentions of newspapers

    oai_token-act-pair · gpt-3.5-turbo

    references to newspapers

    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
    ayne
    -0.69
    ensis
    -0.66
     Defin
    -0.64
    urden
    -0.62
    ¯¯
    -0.62
    asse
    -0.62
    imus
    -0.62
    etooth
    -0.61
    ollah
    -0.61
    ution
    -0.61
    POSITIVE LOGITS
     articles
    1.09
     columnist
    1.06
     newspapers
    1.00
    letters
    0.98
     clipping
    0.97
     editors
    0.97
     publisher
    0.96
     publishers
    0.95
     headline
    0.94
     article
    0.94
    Activations Density 0.048%

    No Known Activations