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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. 20535
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    Explanations

    locations or places such as hospitals, villages, and hangars

    oai_token-act-pair · gpt-3.5-turbo

    locations and events associated with movement or travel

    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
    athi
    -0.67
     pie
    -0.65
     compared
    -0.62
     debuted
    -0.61
     mustache
    -0.60
     emphasized
    -0.59
     distinguished
    -0.58
     alike
    -0.58
     nods
    -0.56
     collaborated
    -0.56
    POSITIVE LOGITS
    livion
    0.86
    orage
    0.82
    grounds
    0.77
    venge
    0.76
     Depot
    0.75
     whence
    0.74
     shores
    0.74
     fray
    0.72
     headquarters
    0.71
    HQ
    0.70
    Activations Density 0.843%

    No Known Activations