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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. 4-RES-JB
    11. 4404
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    Explanations

    references to vessels or ships

    oai_token-act-pair · gpt-3.5-turbo

    references to vessels, particularly in a maritime or transportation context

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

    No Comments

    Negative Logits
    iaries
    -0.68
    iary
    -0.67
    -+-+-+-+
    -0.66
    heimer
    -0.66
    nesota
    -0.65
    cho
    -0.65
    ipes
    -0.64
    clus
    -0.63
    enhagen
    -0.63
    ever
    -0.62
    POSITIVE LOGITS
     vessel
    1.33
     vessels
    1.27
     Vessel
    1.11
     HMS
    0.88
     Titanic
    0.87
    wright
    0.85
     boats
    0.82
     ships
    0.81
     fleet
    0.81
     Yamato
    0.80
    Activations Density 0.011%

    No Known Activations