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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. 9-RES-JB
    11. 16134
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    Explanations

    statistical or numerical data patterns, potentially related to coding or geolocation

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and references related to measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     foot
    -0.78
     mell
    -0.67
     stocking
    -0.66
     elephant
    -0.65
     plaster
    -0.65
     cooperative
    -0.65
     Ryder
    -0.63
     dexter
    -0.63
     dentist
    -0.63
     todd
    -0.62
    POSITIVE LOGITS
     =
    1.96
    =
    1.82
    =~
    1.61
    =$
    1.56
    ='
    1.49
    =-
    1.49
    )=
    1.46
    ="
    1.46
    =(
    1.34
    =[
    1.34
    Activations Density 0.079%

    No Known Activations