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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 2720
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    Explanations

    references to caves

    oai_token-act-pair · gpt-3.5-turbo

    references to caves

    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
    •Caves

    No Comments

    Negative Logits
    pring
    -0.77
    abeth
    -0.73
    icious
    -0.69
     ACTIONS
    -0.69
    oppable
    -0.69
    imated
    -0.65
    oice
    -0.64
    ICS
    -0.63
    orporated
    -0.63
    ulz
    -0.61
    POSITIVE LOGITS
     cave
    1.08
     caves
    1.01
     Dwell
    0.91
     paintings
    0.90
     entrances
    0.83
     canyon
    0.77
    yrinth
    0.75
    tto
    0.73
    lings
    0.72
    door
    0.72
    Activations Density 0.031%

    No Known Activations