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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. 21694
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    Explanations

    years mentioned in documents

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years

    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
    venge
    -0.64
    edIn
    -0.62
    EStreamFrame
    -0.62
     rusty
    -0.61
    ube
    -0.61
     gib
    -0.59
    hed
    -0.59
    wat
    -0.59
     ship
    -0.59
     continu
    -0.58
    POSITIVE LOGITS
    å¹
    0.88
    -'
    0.86
    enhagen
    0.75
     BCE
    0.72
     onwards
    0.72
    bard
    0.71
     ESV
    0.67
     Robbins
    0.66
     Suzuki
    0.66
    borg
    0.65
    Activations Density 0.163%

    No Known Activations