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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. 8-RES-JB
    11. 8516
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    Explanations

    phrases related to transportation and travel

    oai_token-act-pair · gpt-3.5-turbo

    references to passengers in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.74
    enegger
    -0.72
     Skydragon
    -0.69
    ologies
    -0.68
    ritz
    -0.66
    atism
    -0.64
     Tate
    -0.63
    SOURCE
    -0.62
    OLOGY
    -0.62
     Marble
    -0.61
    POSITIVE LOGITS
     passenger
    1.00
     pige
    0.96
     pigeon
    0.95
     onboard
    0.94
     passengers
    0.91
     cabin
    0.91
    wings
    0.85
     airlines
    0.85
     compartment
    0.84
    iences
    0.83
    Activations Density 0.032%

    No Known Activations