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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. 20746
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    Explanations

    phrases related to the action of using a brush

    oai_token-act-pair · gpt-3.5-turbo

    references to brushes and brushing actions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    reme
    -0.77
    uras
    -0.68
     Defenders
    -0.64
    ZI
    -0.63
     Founding
    -0.62
     covenant
    -0.62
    RAL
    -0.62
    oppable
    -0.62
    Sax
    -0.61
    rophe
    -0.61
    POSITIVE LOGITS
    brush
    1.07
     brush
    0.93
     strokes
    0.91
    stroke
    0.90
     Brush
    0.90
    asso
    0.85
     brushes
    0.84
     brist
    0.84
    tip
    0.82
    heet
    0.82
    Activations Density 0.035%

    No Known Activations