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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 the word "Wat" with varying context around it

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Wat" and its variations, likely indicating something related to specific entities or contexts associated with that term

    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
    ence
    -0.76
    gerald
    -0.75
    inct
    -0.70
    ussion
    -0.68
     retaliate
    -0.65
    cussion
    -0.64
    alty
    -0.62
     scrimmage
    -0.62
    rigan
    -0.61
    cream
    -0.61
    POSITIVE LOGITS
     Wat
    4.07
    wat
    1.93
     wat
    1.89
     watches
    1.36
     Watch
    1.36
     Ow
    1.24
    watch
    1.15
     Watkins
    1.15
     Sear
    1.10
     WATCH
    1.10
    Activations Density 0.012%

    No Known Activations