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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. 7445
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    Explanations

    descriptions related to the appearance or structure of objects as clunky or frumpy

    oai_token-act-pair · gpt-3.5-turbo

    references to quirky or unconventional styles

    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
    âĹ¼
    -0.84
    Support
    -0.75
    strength
    -0.74
    venth
    -0.73
    present
    -0.72
    verson
    -0.70
    llers
    -0.70
    asonable
    -0.69
     TAM
    -0.67
    CU
    -0.67
    POSITIVE LOGITS
    unky
    1.02
     buggy
    0.86
    atoes
    0.80
    halla
    0.76
    ernaut
    0.73
    awan
    0.73
    geon
    0.73
     Leone
    0.71
     Crate
    0.70
     Chicken
    0.69
    Activations Density 0.009%

    No Known Activations