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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. 5-RES-JB
    6. 11888
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    Explanations

    adjectives related to brightness

    oai_token-act-pair · gpt-3.5-turbo

    the word "bright" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trl
    -0.74
    ossession
    -0.73
    HAEL
    -0.73
    uberty
    -0.72
    undle
    -0.71
    ilage
    -0.71
    GAN
    -0.71
    utor
    -0.69
    obic
    -0.68
     intimately
    -0.67
    POSITIVE LOGITS
    ening
    1.28
    ened
    1.28
    eners
    1.18
    ener
    1.07
     lights
    0.99
     bright
    0.93
    lights
    0.91
    eyed
    0.90
    lighting
    0.89
     brighter
    0.89
    Activations Density 0.017%

    No Known Activations