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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. 1481
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    Explanations

    mentions of the word "Vo" at various levels of intensity in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand or entity related to audio or voice technology

    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
    dress
    -0.69
    baugh
    -0.69
     showers
    -0.66
     foundations
    -0.65
     CTR
    -0.63
    iverpool
    -0.63
    amiya
    -0.62
    taker
    -0.62
     thresholds
    -0.61
     CPC
    -0.59
    POSITIVE LOGITS
    ilers
    1.05
    iced
    1.03
    zzo
    1.00
    vernment
    0.98
    ctors
    0.97
    icer
    0.96
    iler
    0.95
    irus
    0.94
    ile
    0.94
    VO
    0.93
    Activations Density 0.039%

    No Known Activations