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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. 14159
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    Explanations

    items or entities added to a list

    oai_token-act-pair · gpt-3.5-turbo

    references to various lists or rankings

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    dayName
    -0.70
     DRAG
    -0.62
     Witcher
    -0.62
    elf
    -0.62
     vend
    -0.61
     Lac
    -0.58
    imon
    -0.58
     livestream
    -0.58
     Dresden
    -0.57
    cop
    -0.56
    POSITIVE LOGITS
    elight
    0.82
    ģĸ
    0.79
    Tier
    0.74
    ilogy
    0.73
    genre
    0.71
    iest
    0.71
    ridor
    0.70
    geist
    0.69
    atics
    0.67
     category
    0.67
    Activations Density 0.146%

    No Known Activations