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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. 10-RES-JB
    11. 12203
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    Explanations

    a variety of different things or topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a variety or range of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    atown
    -0.80
    few
    -0.74
     istg
    -0.71
    uckle
    -0.69
    quez
    -0.69
    phans
    -0.68
    ndra
    -0.68
    istan
    -0.68
    ale
    -0.67
    ynthesis
    -0.66
    POSITIVE LOGITS
     disciplines
    1.25
     factors
    1.22
     viewpoints
    1.18
     topics
    1.17
     perspectives
    1.16
     different
    1.15
     facets
    1.13
     configurations
    1.13
     genres
    1.12
     industries
    1.11
    Activations Density 0.112%

    No Known Activations