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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. 9-RES-JB
    6. 18790
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    Explanations

    terms related to admiration and respect

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social recognition and reputation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adra
    -0.71
    tein
    -0.68
    orio
    -0.64
    guyen
    -0.62
    ensor
    -0.61
    acion
    -0.60
    lua
    -0.59
    alos
    -0.58
    otaur
    -0.56
    pan
    -0.55
    POSITIVE LOGITS
     by
    0.96
    By
    0.83
    isSpecialOrderable
    0.82
     amongst
    0.80
    igious
    0.77
     internationally
    0.75
     nationally
    0.75
     worldwide
    0.74
     universally
    0.73
     everywhere
    0.73
    Activations Density 0.186%

    No Known Activations