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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. 11581
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    Explanations

    words related to the seafood industry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fisheries and seafood

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Gree
    -0.77
    Madison
    -0.74
    Brand
    -0.71
    Bir
    -0.71
    haar
    -0.69
    olver
    -0.69
     Chancellor
    -0.68
    Runtime
    -0.65
    drive
    -0.65
     Warsaw
    -0.65
    POSITIVE LOGITS
     fisherman
    1.23
     fisheries
    1.22
     fishermen
    1.21
     Fisheries
    1.20
     fishing
    1.05
     fisher
    1.04
     fish
    0.97
     biologist
    0.93
     tuna
    0.91
     fishes
    0.91
    Activations Density 0.032%

    No Known Activations