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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. 8-RES-JB
    6. 8898
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    Explanations

    references related to the concept of light

    oai_token-act-pair · gpt-3.5-turbo

    references to light and its properties

    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
    halla
    -0.70
     Municip
    -0.70
    laus
    -0.70
    USS
    -0.68
    Minor
    -0.68
    ovo
    -0.68
     probation
    -0.67
    ModLoader
    -0.65
     Honor
    -0.64
     Malta
    -0.64
    POSITIVE LOGITS
     emitted
    1.33
     emanating
    1.21
     transmitted
    1.12
     photons
    1.11
     rays
    1.07
     wavelengths
    1.06
     pulses
    1.06
     particles
    1.05
     molecules
    1.05
     emitting
    1.01
    Activations Density 0.167%

    No Known Activations