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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. 21964
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    Explanations

    terms related to automotive features and parts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to anatomical structures or compartments, especially glands and hatches

    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
    guyen
    -0.81
    ocre
    -0.79
    iter
    -0.78
    velength
    -0.78
    fing
    -0.76
    esty
    -0.75
    ilver
    -0.74
    udging
    -0.73
    itivity
    -0.72
    pez
    -0.72
    POSITIVE LOGITS
    allic
    0.74
    otle
    0.73
     Mansion
    0.72
     Clicker
    0.70
    arding
    0.69
    rics
    0.69
    ARD
    0.69
    ULAR
    0.68
     Rae
    0.68
    lain
    0.67
    Activations Density 0.040%

    No Known Activations