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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. 21807
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    Explanations

    summaries or brief descriptions in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to summaries and reports

    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
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    Negative Logits
    duct
    -0.78
    gypt
    -0.75
    bees
    -0.74
    train
    -0.72
     Wee
    -0.71
    enne
    -0.70
    eno
    -0.69
    Sea
    -0.67
     charism
    -0.66
    yss
    -0.64
    POSITIVE LOGITS
     summ
    0.96
     thereof
    0.94
     summar
    0.91
     summary
    0.84
     summarize
    0.83
    itious
    0.81
     summarizes
    0.77
     synopsis
    0.73
     statistics
    0.72
     overview
    0.72
    Activations Density 0.059%

    No Known Activations