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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
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    Explanations

    the word "representatives."

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "representatives."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aughs
    -0.95
    imb
    -0.87
    ned
    -0.85
    osure
    -0.82
    bed
    -0.80
    burn
    -0.76
    bat
    -0.73
    awar
    -0.73
    aded
    -0.72
    frey
    -0.71
    POSITIVE LOGITS
     representatives
    1.07
    hips
    0.93
     warr
    0.89
    ratulations
    0.88
     glim
    0.82
     representative
    0.82
    terday
    0.79
     citiz
    0.77
     Representatives
    0.76
     simultane
    0.74
    Activations Density 0.008%

    No Known Activations