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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. 8-RES-JB
    11. 10378
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    Explanations

    references to people and statements made by them

    oai_token-act-pair · gpt-3.5-turbo

    references to sports performance and related statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    !'
    -0.86
    .'
    -0.70
    !'"
    -0.65
    )'
    -0.64
    ?'
    -0.62
    ,'
    -0.61
    .—
    -0.60
    .'"
    -0.59
     Martial
    -0.58
     Illust
    -0.56
    POSITIVE LOGITS
     "[
    0.86
     "
    0.84
     anecd
    0.81
     "âĢ¦
    0.80
     "'
    0.76
     "...
    0.73
     misconception
    0.72
    taboola
    0.69
     "#
    0.69
    ItemTracker
    0.68
    Activations Density 1.314%

    No Known Activations