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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. 10-RES-JB
    6. 19536
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    INDEX
    Explanations

    words related to deer hunting and deer sightings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of deer and related wildlife

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ento
    -0.94
    acist
    -0.77
    icians
    -0.75
    ician
    -0.72
    oppable
    -0.71
    inx
    -0.70
     Shinra
    -0.69
     Miranda
    -0.69
     Alibaba
    -0.67
     Gutenberg
    -0.67
    POSITIVE LOGITS
     herd
    1.05
     carc
    1.04
     hunters
    1.00
     hunter
    0.98
     herds
    0.97
     hunting
    0.96
     horns
    0.93
     calves
    0.93
     grazing
    0.91
     deer
    0.89
    Activations Density 0.047%

    No Known Activations