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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
    11. 7142
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    Explanations

    words related to modes of transportation, specifically carriages and wagons

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of carriages and wagons

    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
    uras
    -0.86
    enegger
    -0.79
    ichita
    -0.76
    estate
    -0.75
    antha
    -0.73
    ociated
    -0.72
    aminer
    -0.72
    liga
    -0.71
    iaries
    -0.70
    ributed
    -0.70
    POSITIVE LOGITS
     carriage
    1.21
     Compan
    0.92
     horses
    0.91
    riages
    0.90
    wagon
    0.86
     Horses
    0.85
     wagon
    0.85
    horse
    0.79
    wheel
    0.79
     pige
    0.79
    Activations Density 0.018%

    No Known Activations