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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. 7-RES-JB
    11. 7498
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    Explanations

    words related to caves or underground locations

    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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Caves

    No Comments

    Negative Logits
    pring
    -0.74
    abeth
    -0.70
    IFA
    -0.66
    istors
    -0.66
    imated
    -0.65
    enance
    -0.64
    oice
    -0.64
     ACTIONS
    -0.64
    icious
    -0.63
     NX
    -0.63
    POSITIVE LOGITS
     cave
    1.01
     caves
    1.01
    yrinth
    0.95
     Dwell
    0.93
     paintings
    0.85
     crawl
    0.82
     entrances
    0.82
     canyon
    0.79
    thur
    0.77
     craw
    0.76
    Activations Density 0.035%

    No Known Activations