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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. 1-RES-JB
    11. 21824
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    Explanations

    terms related to the flow of data or information

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to data flow and networking

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     bats
    -0.79
     CHO
    -0.68
     bowling
    -0.66
     scratched
    -0.65
    ALE
    -0.64
     ballpark
    -0.63
    RON
    -0.63
    NING
    -0.62
     microw
    -0.62
     pric
    -0.61
    POSITIVE LOGITS
    flow
    1.44
    DragonMagazine
    1.09
     overflow
    1.07
    flows
    0.98
    sers
    0.87
    edIn
    0.87
    chart
    0.86
    yip
    0.85
     overfl
    0.83
    raltar
    0.83
    Activations Density 0.004%

    No Known Activations