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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. 6-RES-JB
    11. 12232
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    Explanations

    names of individuals, possibly related to news articles or events

    oai_token-act-pair · gpt-3.5-turbo

    captions related to images or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    abol
    -0.74
    kn
    -0.67
    punk
    -0.64
    nesia
    -0.64
    bye
    -0.64
    lli
    -0.63
     theoret
    -0.63
    romy
    -0.61
     tune
    -0.61
     brim
    -0.61
    POSITIVE LOGITS
     Caption
    1.05
     Close
    0.95
     Thumbnails
    0.87
     Loading
    0.83
     largeDownload
    0.83
    Thumbnail
    0.82
     Scenes
    0.81
     Shutdown
    0.80
     ï
    0.79
    ibrary
    0.77
    Activations Density 0.018%

    No Known Activations