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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
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    Explanations

    references to the term 'Pirates'

    oai_token-act-pair · gpt-3.5-turbo

    references to "Pirates" and related terms in various 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
    andra
    -0.79
    uate
    -0.76
    uated
    -0.73
    enegger
    -0.72
    blance
    -0.72
    hetically
    -0.72
    upon
    -0.71
    mble
    -0.70
    è¯
    -0.70
    IAS
    -0.69
    POSITIVE LOGITS
    Pir
    1.00
     Pirates
    1.00
     pirates
    0.85
     Luffy
    0.81
     Nost
    0.78
     Parties
    0.76
     Kou
    0.74
     Pirate
    0.73
     Bride
    0.72
     overboard
    0.72
    Activations Density 0.007%

    No Known Activations