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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. 4886
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    Explanations

    text related to shoe maintenance and comfort

    oai_token-act-pair · gpt-3.5-turbo

    language related to physical support structures and their functions

    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
    iberal
    -0.71
    èĢħ
    -0.69
    ylum
    -0.68
    National
    -0.68
    clinton
    -0.67
     Soros
    -0.66
    ourcing
    -0.66
     Cosponsors
    -0.66
    vernment
    -0.65
    fund
    -0.64
    POSITIVE LOGITS
     moisture
    0.95
     airflow
    0.89
     vibration
    0.83
     texture
    0.83
     vibrations
    0.80
     tactile
    0.79
     calcium
    0.75
     wearer
    0.74
     undet
    0.74
     thickness
    0.73
    Activations Density 1.505%

    No Known Activations