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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. 5012
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    Explanations

    phrases related to quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "one" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    dk
    -0.68
    aeda
    -0.66
    mson
    -0.64
    apons
    -0.63
    respective
    -0.60
    ories
    -0.58
    tto
    -0.58
    orically
    -0.58
    UFF
    -0.58
    enegger
    -0.58
    POSITIVE LOGITS
     dimensional
    1.21
     sided
    1.11
    -
    1.07
     hundred
    1.04
     thousand
    0.91
    dimensional
    0.91
    -,
    0.91
    âĢij
    0.90
     Hundred
    0.89
     hour
    0.88
    Activations Density 0.045%

    No Known Activations