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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
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    Explanations

    the word "Haw" occurring in the text

    oai_token-act-pair · gpt-3.5-turbo

    the name "Haw" with varying contexts and significance

    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
     Gemini
    -0.72
     guiActiveUnfocused
    -0.70
     Juda
    -0.68
    uyomi
    -0.68
    itution
    -0.65
     tant
    -0.65
    代
    -0.65
     perpet
    -0.64
    ORED
    -0.63
     haste
    -0.62
    POSITIVE LOGITS
    keye
    1.63
    keyes
    1.30
    haw
    1.21
    aii
    1.15
     Haw
    1.14
    orth
    1.06
    Haw
    0.96
    kes
    0.89
    ken
    0.88
    kinson
    0.87
    Activations Density 0.006%

    No Known Activations