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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. 4-RES-JB
    11. 15422
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    Explanations

    phrases related to being on board a vehicle or vessel

    oai_token-act-pair · gpt-3.5-turbo

    references to being on or off various types of vehicles or vessels

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

    No Comments

    Negative Logits
    utenberg
    -0.88
    itar
    -0.79
    ulative
    -0.77
    nesota
    -0.76
    ocene
    -0.76
    olson
    -0.73
    info
    -0.70
    enegger
    -0.69
    nyder
    -0.69
    uther
    -0.67
    POSITIVE LOGITS
     aboard
    1.07
     HMS
    1.03
     onboard
    0.84
     boarding
    0.82
     ship
    0.81
     Sail
    0.81
    boats
    0.78
     Ship
    0.77
     Cabin
    0.76
     raft
    0.76
    Activations Density 0.010%

    No Known Activations