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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. 0-RES-JB
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    Explanations

    mentions of various types of swords

    oai_token-act-pair · gpt-3.5-turbo

    references to swords or sword-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Malone
    -0.80
     Consumers
    -0.75
    Philadelphia
    -0.73
     Carson
    -0.73
     McKenna
    -0.72
     Clin
    -0.71
     Consumer
    -0.70
     NBC
    -0.70
    NBC
    -0.69
    bors
    -0.69
    POSITIVE LOGITS
     sword
    3.54
     swords
    2.88
     Sword
    2.58
    sword
    2.54
    Sword
    2.37
     lightsaber
    1.99
     Swords
    1.90
     blade
    1.88
     dagger
    1.79
     knife
    1.74
    Activations Density 0.025%

    No Known Activations