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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. 7-RES-JB
    11. 12692
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    Explanations

    information related to statistics and data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to population or user metrics

    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
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    No Comments

    Negative Logits
    wcsstore
    -0.78
    tnc
    -0.78
    natureconservancy
    -0.76
    osite
    -0.76
    dit
    -0.76
    bra
    -0.69
    ilateral
    -0.66
    fml
    -0.65
     rpm
    -0.64
     opposite
    -0.64
    POSITIVE LOGITS
     Including
    1.08
     Thousands
    0.93
     Hundreds
    0.92
     Tens
    0.85
    quartered
    0.83
     counting
    0.83
     Dozens
    0.80
     Millions
    0.78
     Approximately
    0.77
     includ
    0.77
    Activations Density 0.734%

    No Known Activations