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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. 10-RES-JB
    11. 21383
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    Explanations

    phrases related to using or dealing with brushes

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "brush" and its associated actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.73
     Mandela
    -0.73
    uthor
    -0.72
     regress
    -0.71
    pta
    -0.61
     Titanic
    -0.60
    CVE
    -0.60
     Founding
    -0.60
    ukong
    -0.60
    ettel
    -0.59
    POSITIVE LOGITS
    stro
    1.14
    stroke
    1.03
    brush
    1.00
     strokes
    0.98
     brush
    0.93
    ãĤĮ
    0.91
    bery
    0.89
     brist
    0.88
    fires
    0.87
    aign
    0.83
    Activations Density 0.040%

    No Known Activations