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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. 1-RES-JB
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    Explanations

    words related to maritime vessels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of vessels, particularly in maritime contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iaries
    -0.70
     Lamar
    -0.69
     fertile
    -0.65
    ever
    -0.65
    odium
    -0.65
    iary
    -0.62
    nesota
    -0.62
    put
    -0.61
    older
    -0.60
    okin
    -0.59
    POSITIVE LOGITS
     vessel
    1.66
     vessels
    1.48
     Vessel
    1.43
    wright
    1.01
     HMS
    0.96
     yacht
    0.90
     boat
    0.90
     boats
    0.90
    boat
    0.90
     Titanic
    0.88
    Activations Density 0.008%

    No Known Activations