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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. 0-RES-JB
    11. 20332
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    Explanations

    words related to the concept of brunch

    oai_token-act-pair · gpt-3.5-turbo

    mentions of food-related terms, particularly focusing on meals and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     herald
    -0.67
     se
    -0.67
     helm
    -0.66
     hel
    -0.66
     ren
    -0.63
     mast
    -0.63
     Ree
    -0.62
     EPA
    -0.61
     drainage
    -0.61
     directed
    -0.61
    POSITIVE LOGITS
    unch
    4.44
    UNCH
    2.42
    unk
    1.08
    urger
    1.02
    ump
    0.96
    unin
    0.95
    USH
    0.95
    uns
    0.94
    umpy
    0.93
    Crunch
    0.92
    Activations Density 0.010%

    No Known Activations