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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. 0-RES-JB
    6. 3894
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    INDEX
    Explanations

    the word "persons" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Detention
    -0.69
     Tube
    -0.65
     tube
    -0.65
     juice
    -0.64
     Juice
    -0.64
     Duke
    -0.63
     bonus
    -0.62
     Cancel
    -0.61
     gym
    -0.61
     Gadget
    -0.61
    POSITIVE LOGITS
    pers
    4.69
    Pers
    1.97
    person
    1.50
    perse
    1.46
    per
    1.45
    ping
    1.36
    people
    1.34
    men
    1.17
    pered
    1.17
     Pers
    1.16
    Activations Density 0.011%

    No Known Activations