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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. 10-RES-JB
    6. 9359
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    Explanations

    phrases related to setting and achieving personal goals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to goal setting and personal development

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cens
    -0.78
     Scalia
    -0.77
    gypt
    -0.76
     Oswald
    -0.76
     Armen
    -0.73
     GOODMAN
    -0.71
    audi
    -0.71
     Coulter
    -0.70
     Turks
    -0.70
     Saud
    -0.70
    POSITIVE LOGITS
     achie
    1.37
    chieve
    1.35
     accomplishments
    1.31
     happiness
    1.31
     hobbies
    1.30
     achievements
    1.29
     accomplishment
    1.28
     willpower
    1.26
     Happiness
    1.26
     goals
    1.23
    Activations Density 0.706%

    No Known Activations