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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. 7-RES-JB
    11. 7979
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    Explanations

    mentions of specific household appliances, in particular, refrigerators

    oai_token-act-pair · gpt-3.5-turbo

    mentions of refrigerators and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tale
    -0.77
    kok
    -0.70
    doms
    -0.69
    amen
    -0.66
    EStream
    -0.65
    maps
    -0.64
    uro
    -0.64
    gotten
    -0.64
    casting
    -0.63
    venture
    -0.63
    POSITIVE LOGITS
     freezer
    1.25
     refrigerator
    1.15
     fridge
    1.14
     shelves
    1.06
     refriger
    1.01
    riger
    0.97
     shelf
    0.95
     closet
    0.90
    idges
    0.85
    idge
    0.84
    Activations Density 0.045%

    No Known Activations