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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 12737
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    Explanations

    references to the word "Hay" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names or terms associated with individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.84
    inyl
    -0.76
    ortium
    -0.74
    $$$$
    -0.69
    icably
    -0.68
    andestine
    -0.68
     perman
    -0.66
    ination
    -0.66
     Mayhem
    -0.65
    wcs
    -0.63
    POSITIVE LOGITS
    wire
    1.21
    stack
    1.12
    nes
    1.03
    den
    0.99
    leigh
    0.96
    dn
    0.93
    ashi
    0.91
    ek
    0.91
    maker
    0.90
    enne
    0.89
    Activations Density 0.036%

    No Known Activations