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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. 1-RES-JB
    11. 925
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    Explanations

    phrases related to drawing or selection processes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "drawn."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icum
    -0.73
    ateral
    -0.73
    hal
    -0.72
    ocker
    -0.71
    mma
    -0.66
    aceutical
    -0.64
    Mac
    -0.63
    oppy
    -0.63
    CLA
    -0.62
    ise
    -0.62
    POSITIVE LOGITS
     drawn
    1.46
     Drawn
    1.10
     drawing
    0.94
    drawn
    0.91
     Drawing
    0.88
    GGGGGGGG
    0.85
     irresist
    0.81
     "$:/
    0.79
     aggro
    0.74
    uers
    0.72
    Activations Density 0.010%

    No Known Activations