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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. 11-RES-JB
    11. 3347
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    oai_token-act-pair · gpt-3.5-turbo

    references to related topics or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ruary
    -0.95
    asus
    -0.82
    ardo
    -0.81
    AUT
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    oufl
    -0.79
    arer
    -0.78
    IVER
    -0.78
    imates
    -0.78
    irlf
    -0.77
    arest
    -0.76
    POSITIVE LOGITS
     activities
    1.05
    ness
    1.05
     topics
    1.02
     mater
    1.00
     disciplines
    1.00
     pursuits
    0.95
     industries
    0.95
     subreddits
    0.95
     entities
    0.94
     factors
    0.93
    Activations Density 0.095%

    No Known Activations