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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. 19154
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    Explanations

    phrases relating to a need or requirement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express necessity or the need for something

    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
    azar
    -0.81
    amaru
    -0.77
    opian
    -0.77
    Journal
    -0.73
    paper
    -0.70
    aroo
    -0.68
    Qaida
    -0.68
    ipel
    -0.67
    dry
    -0.65
    py
    -0.63
    POSITIVE LOGITS
     urgently
    0.85
     sust
    0.75
     patience
    0.72
     HELP
    0.70
     manpower
    0.69
     upkeep
    0.68
     brakes
    0.68
     diligence
    0.65
     perman
    0.64
     surgery
    0.64
    Activations Density 0.163%

    No Known Activations