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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. 20665
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    Explanations

    cave-related terms

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "cave."

    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
    •Caves

    No Comments

    Negative Logits
    pring
    -0.83
    abeth
    -0.73
    icious
    -0.70
     ACTIONS
    -0.69
    nesota
    -0.68
    imated
    -0.67
     ILCS
    -0.65
    ICS
    -0.64
    uckles
    -0.64
    oppable
    -0.64
    POSITIVE LOGITS
     cave
    1.06
     caves
    0.99
     Dwell
    0.91
     paintings
    0.86
     entrances
    0.83
    yrinth
    0.76
     canyon
    0.76
     diving
    0.72
     lions
    0.71
     walls
    0.71
    Activations Density 0.025%

    No Known Activations