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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10396
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    Explanations

    phrases indicating contrast or comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating distance or separation from a condition or state

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andowski
    -0.72
    tex
    -0.70
    liction
    -0.70
     contrace
    -0.69
    çī
    -0.69
    ilage
    -0.69
    rongh
    -0.68
     princ
    -0.68
    FY
    -0.68
     Defin
    -0.67
    POSITIVE LOGITS
     being
    0.81
     anywhere
    0.76
     ideal
    0.75
     conclusive
    0.74
     anything
    0.72
     satisfactory
    0.69
     perfect
    0.66
     exhaustive
    0.66
     resembling
    0.65
     optimal
    0.64
    Activations Density 0.036%

    No Known Activations