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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. 8-RES-JB
    11. 11622
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    Explanations

    technical instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to health risks and potential dangers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.86
    ©¶æ
    -0.81
     Parables
    -0.78
     Sins
    -0.76
    ï¸
    -0.73
    £ı
    -0.72
     Definitive
    -0.68
    ãĤ©
    -0.67
    ĨĴ
    -0.65
    ©¶æ¥µ
    -0.65
    POSITIVE LOGITS
    .'"
    0.65
    .''.
    0.63
    .'
    0.63
     ..."
    0.60
    ..."
    0.59
     ...
    0.58
     fi
    0.57
    âĢ¦"
    0.57
    !'"
    0.57
     charact
    0.56
    Activations Density 0.147%

    No Known Activations