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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. 22859
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    Explanations

    terms related to location and color

    oai_token-act-pair · gpt-3.5-turbo

    terms related to colors and their significance

    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
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    No Comments

    Negative Logits
    arenthood
    -0.88
    imester
    -0.79
     contrace
    -0.79
     Ethics
    -0.76
    ente
    -0.74
    ugg
    -0.71
    Secondly
    -0.71
    pora
    -0.70
    requisite
    -0.70
     Parenthood
    -0.70
    POSITIVE LOGITS
     yellow
    1.54
     orange
    1.43
     blinking
    1.39
     colors
    1.36
     logo
    1.36
     colours
    1.35
     bright
    1.35
     silhou
    1.34
     blue
    1.34
     banners
    1.33
    Activations Density 1.198%

    No Known Activations