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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. 7948
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    Explanations

    various types of something

    oai_token-act-pair · gpt-3.5-turbo

    various categories or types of items, situations, or concepts

    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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    No Comments

    Negative Logits
    edia
    -0.71
     Omaha
    -0.61
    itness
    -0.59
     Rio
    -0.58
     Niet
    -0.58
    ouston
    -0.58
     Examination
    -0.56
    esi
    -0.56
    atown
    -0.56
    ylan
    -0.55
    POSITIVE LOGITS
     of
    0.91
    hell
    0.79
     imaginable
    0.77
     kinds
    0.73
    paces
    0.72
    hots
    0.71
    Of
    0.70
    istries
    0.69
    etting
    0.68
    entially
    0.68
    Activations Density 0.032%

    No Known Activations