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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. 7030
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    INDEX
    Explanations

    text related to various skills, such as skill-building, skill sets, knowledge, and expertise

    oai_token-act-pair · gpt-3.5-turbo

    mentions of skills and abilities in various contexts

    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
    iatus
    -0.88
    idays
    -0.77
    ipel
    -0.74
    autions
    -0.73
    scription
    -0.72
    iversary
    -0.70
    delete
    -0.70
    cott
    -0.70
    levard
    -0.70
    OPA
    -0.70
    POSITIVE LOGITS
     skills
    1.26
     skill
    1.25
     proficiency
    1.19
     knack
    1.19
     talents
    1.18
     physique
    1.16
     agility
    1.16
     talent
    1.10
     abilities
    1.07
     mastery
    1.07
    Activations Density 0.716%

    No Known Activations