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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 13495
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    INDEX
    Explanations

    phrases related to setting goals and achieving them

    oai_token-act-pair · gpt-3.5-turbo

    references to setting and achieving personal goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Saud
    -0.81
     Lange
    -0.75
     Scalia
    -0.74
    radio
    -0.74
     Giuliani
    -0.71
    cens
    -0.71
     Oswald
    -0.69
     Coulter
    -0.69
    guards
    -0.68
    ãĤ¶
    -0.68
    POSITIVE LOGITS
     accomplishment
    1.68
     accomplishments
    1.65
     achievements
    1.62
     achievement
    1.60
    chieve
    1.54
     achie
    1.54
     milestones
    1.51
     goals
    1.50
     Achieve
    1.40
     Achievement
    1.39
    Activations Density 0.661%

    No Known Activations