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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. 17046
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    Explanations

    references to sports plays or training activities

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "snaps" and "reps" in various contexts

    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
    ieve
    -0.68
    cul
    -0.66
     allied
    -0.65
    library
    -0.65
     pursued
    -0.64
     Property
    -0.62
    oe
    -0.62
     characterized
    -0.62
     fueled
    -0.61
     Hof
    -0.61
    POSITIVE LOGITS
     snaps
    3.64
     snap
    1.38
     snapshots
    1.38
     reps
    1.37
     clips
    1.36
     sacks
    1.30
    snap
    1.24
     touches
    1.23
     rushes
    1.18
     wipes
    1.16
    Activations Density 0.010%

    No Known Activations