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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. 1872
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    Explanations

    references to news sources and relevant entities mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    references to names and organizations related to news and media

    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
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -1.04
    etheless
    -0.84
    ãĢİ
    -0.80
    profits
    -0.65
    ielding
    -0.64
    uggish
    -0.62
    azard
    -0.62
    ãĢIJ
    -0.62
    conservancy
    -0.60
     righteousness
    -0.58
    POSITIVE LOGITS
     .)
    1.57
    âĢ¦)
    1.54
    )"
    1.54
    .)
    1.50
    )
    1.49
    )."
    1.42
    ),"
    1.40
    )--
    1.36
    )|
    1.35
    !)
    1.35
    Activations Density 0.185%

    No Known Activations