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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. 3-RES-JB
    11. 20048
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    Explanations

    references to colors

    oai_token-act-pair · gpt-3.5-turbo

    references to color and color-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.92
    idem
    -0.86
    _-
    -0.86
    uckland
    -0.77
    yu
    -0.76
    Xi
    -0.70
    ammad
    -0.70
    minster
    -0.70
    arnaev
    -0.67
    EMS
    -0.67
    POSITIVE LOGITS
     palette
    1.11
    blind
    1.02
     color
    1.01
     colors
    0.99
    color
    0.96
     colours
    0.91
     dye
    0.88
    osity
    0.87
    ="#
    0.87
    grain
    0.86
    Activations Density 0.016%

    No Known Activations