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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. 3-RES-JB
    11. 3887
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    Explanations

    phrases related to fishing

    oai_token-act-pair · gpt-3.5-turbo

    references to fishing activities and related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gow
    -0.77
    vu
    -0.75
    xus
    -0.73
    haar
    -0.71
    xual
    -0.70
    eq
    -0.69
    eds
    -0.69
    blance
    -0.69
    olar
    -0.66
    sure
    -0.64
    POSITIVE LOGITS
     fishing
    1.09
     fisherman
    1.06
     fishermen
    0.97
     fisheries
    0.93
     rods
    0.90
     fishes
    0.87
     boats
    0.87
     fisher
    0.86
    mong
    0.85
    fish
    0.85
    Activations Density 0.012%

    No Known Activations