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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. 7-RES-JB
    6. 4221
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    INDEX
    Explanations

    hyphenated phrases indicating a comparison or distinction

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to higher income or socioeconomic status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dickinson
    -0.81
    ulhu
    -0.74
     Gazette
    -0.73
     Pengu
    -0.71
     Wiz
    -0.70
     Quan
    -0.69
     Cotton
    -0.68
     Saud
    -0.67
     Indigo
    -0.67
     Drink
    -0.66
    POSITIVE LOGITS
    than
    1.70
    sounding
    1.17
    upper
    1.09
    worldly
    1.07
    educated
    1.05
    biased
    1.00
    edged
    1.00
    looking
    1.00
    ranked
    0.98
    leaning
    0.98
    Activations Density 0.064%

    No Known Activations