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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. 1-RES-JB
    6. 19302
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    INDEX
    Explanations

    words related to a product lineup

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of lineups in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.87
    bara
    -0.86
    ricular
    -0.82
    ryn
    -0.77
    birth
    -0.75
    ode
    -0.74
    mit
    -0.72
    rir
    -0.72
    imb
    -0.72
    versely
    -0.71
    POSITIVE LOGITS
     lineup
    1.36
     XI
    0.84
     selections
    0.81
     rosters
    0.74
     assortment
    0.72
     assignments
    0.71
     scrimmage
    0.71
     LINE
    0.70
     choices
    0.69
     swaps
    0.69
    Activations Density 0.006%

    No Known Activations