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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

    mentions of flights

    oai_token-act-pair · gpt-3.5-turbo

    references to flights and air travel

    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
    laus
    -0.70
    ENTION
    -0.69
    uzzle
    -0.61
     Jah
    -0.60
    Harris
    -0.59
    1920
    -0.59
     childhood
    -0.58
     deed
    -0.58
    sonian
    -0.57
    ãĤ©
    -0.57
    POSITIVE LOGITS
     flights
    1.04
    pread
    0.91
    hip
    0.90
    peed
    0.87
    uggest
    0.87
     booking
    0.87
    ports
    0.86
    crew
    0.83
    agascar
    0.81
    mares
    0.80
    Activations Density 0.017%

    No Known Activations