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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3875
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    Explanations

    references to objects or actions related to wheels

    oai_token-act-pair · gpt-3.5-turbo

    references to wheels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILA
    -0.80
    ISA
    -0.77
     Sanford
    -0.69
    venants
    -0.68
    arant
    -0.68
    anta
    -0.67
    phia
    -0.67
     Investigation
    -0.66
    Maria
    -0.65
     Kak
    -0.64
    POSITIVE LOGITS
     wheel
    3.95
     Wheel
    2.61
    wheel
    2.47
     wheels
    2.34
    Wheel
    2.24
     Wheels
    1.62
    whe
    1.42
     axle
    1.40
     wheelchair
    1.32
     pedal
    1.28
    Activations Density 0.009%

    No Known Activations