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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. 6-RES-JB
    6. 14351
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    Explanations

    words related to food and cooking

    oai_token-act-pair · gpt-3.5-turbo

    words related to food and culinary items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esm
    -0.75
    oln
    -0.68
    ativity
    -0.67
    NF
    -0.65
    iets
    -0.65
    schild
    -0.65
    mbuds
    -0.65
     SOC
    -0.61
    itans
    -0.61
     Compliance
    -0.60
    POSITIVE LOGITS
    vine
    0.81
    cake
    0.81
    Tip
    0.80
    pox
    0.78
    paste
    0.78
    cup
    0.76
    tips
    0.76
    ishly
    0.75
    jee
    0.75
    joy
    0.75
    Activations Density 0.213%

    No Known Activations