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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. 3797
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    Explanations

    mentioned modes of transportation, including vehicles and travel methods

    oai_token-act-pair · gpt-3.5-turbo

    references to various modes of transportation and support services

    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
    rite
    -0.73
    iliation
    -0.70
     tremend
    -0.69
     crystall
    -0.67
    heit
    -0.67
    token
    -0.65
     antioxid
    -0.65
    weet
    -0.64
     anew
    -0.64
    iliate
    -0.64
    POSITIVE LOGITS
     bicycles
    1.02
     trucks
    1.02
     helicopters
    1.01
     crews
    1.00
     motorcycles
    0.98
     towed
    0.98
     airplanes
    0.95
     passengers
    0.91
     taxis
    0.90
     submarines
    0.90
    Activations Density 0.652%

    No Known Activations