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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. 5-RES-JB
    6. 5227
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    Explanations

    mentions of the word "wheels" or variations of the word

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific names or references, particularly involving "Wheaton" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Defenders
    -0.78
    ographers
    -0.73
    pmwiki
    -0.70
    EMBER
    -0.69
    âĸ¬
    -0.68
    UAL
    -0.65
     Gallery
    -0.63
    arios
    -0.63
    uated
    -0.62
    istically
    -0.62
    POSITIVE LOGITS
    eling
    0.92
     Whe
    0.89
    esome
    0.88
    tted
    0.88
    velt
    0.87
    elin
    0.86
    ither
    0.86
    ldon
    0.86
    itness
    0.85
    lp
    0.85
    Activations Density 0.013%

    No Known Activations