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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. 1639
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    Explanations

    colors and color-related words

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to colors and their descriptions

    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
    ository
    -0.80
    EH
    -0.73
     logistics
    -0.71
    ibling
    -0.70
     restraining
    -0.70
    Ham
    -0.68
     Strauss
    -0.67
    trak
    -0.67
     disposal
    -0.67
    ursion
    -0.67
    POSITIVE LOGITS
     colors
    1.58
     colours
    1.57
     colour
    1.51
     color
    1.49
     brighter
    1.43
     bright
    1.42
     tint
    1.40
     translucent
    1.36
     crimson
    1.34
     hue
    1.33
    Activations Density 0.711%

    No Known Activations