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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. 0-RES-JB
    11. 6673
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    Explanations

    mentions of newspapers

    oai_token-act-pair · gpt-3.5-turbo

    references to newspapers and printed media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ventory
    -0.70
     Winged
    -0.68
    Iv
    -0.65
    otaur
    -0.65
    LA
    -0.63
    step
    -0.62
    oulder
    -0.62
     Unicorn
    -0.62
    bal
    -0.62
     placement
    -0.62
    POSITIVE LOGITS
     newspapers
    2.52
     Newsp
    1.87
     Journals
    1.40
     tabl
    1.31
     journals
    1.17
     magazines
    1.07
     textbooks
    0.90
     Hicks
    0.89
     publications
    0.83
    azines
    0.82
    Activations Density 0.024%

    No Known Activations