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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. 9-RES-JB
    11. 18261
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    Explanations

    references to the word "paint" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to paint and painting-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     htt
    -0.80
    doms
    -0.78
    indal
    -0.75
    zbek
    -0.73
     Kenyan
    -0.69
    atches
    -0.67
    AMY
    -0.66
    cgi
    -0.65
    otide
    -0.65
    scill
    -0.64
    POSITIVE LOGITS
    brush
    1.25
     thinner
    0.94
    balls
    0.89
    ball
    0.85
    isans
    0.84
     brushes
    0.83
    pain
    0.83
     painter
    0.81
     acrylic
    0.81
     painting
    0.80
    Activations Density 0.049%

    No Known Activations