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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    phrases related to groups of animals, particularly herds

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of animals or people, particularly in the context of herd behavior

    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
    Not in Any Lists

    No Comments

    Negative Logits
     dism
    -0.80
    ccording
    -0.70
     streng
    -0.68
     satell
    -0.67
     accur
    -0.67
     affordability
    -0.63
    inse
    -0.63
     soda
    -0.62
    foundland
    -0.62
    uyomi
    -0.61
    POSITIVE LOGITS
     herd
    1.12
     herds
    1.10
    ers
    0.90
     flock
    0.85
    erness
    0.83
     animals
    0.82
    ieu
    0.81
     Animals
    0.81
    qv
    0.79
     Ducks
    0.77
    Activations Density 0.008%

    No Known Activations