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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. 3-RES-JB
    11. 18409
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    Explanations

    keywords or topics from various categories

    oai_token-act-pair · gpt-3.5-turbo

    references to topics or categories in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    otos
    -0.94
    adic
    -0.76
    atur
    -0.74
     testament
    -0.74
    arist
    -0.72
    aping
    -0.72
    oÄŁ
    -0.69
    olis
    -0.69
     corrid
    -0.67
    yrus
    -0.67
    POSITIVE LOGITS
    Topics
    1.33
    afety
    1.03
    ĸļ
    0.81
    hedral
    0.76
    matter
    0.74
    Topic
    0.71
    encies
    0.70
    Questions
    0.70
    POL
    0.69
    ource
    0.68
    Activations Density 0.012%

    No Known Activations