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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. 6-RES-JB
    6. 14163
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    Explanations

    terms related to various skills, such as development, job-seeking, coaching, and digital

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of skills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    romeda
    -0.82
     Manz
    -0.70
     Reloaded
    -0.70
    clipse
    -0.69
    choes
    -0.66
     Wilhelm
    -0.66
     Pall
    -0.63
    idays
    -0.62
     Meier
    -0.62
    rarily
    -0.62
    POSITIVE LOGITS
    cape
    1.01
    anooga
    0.92
     training
    0.89
    learn
    0.88
     skills
    0.88
    linger
    0.83
    chery
    0.83
     proficiency
    0.83
     tutor
    0.82
    hooting
    0.80
    Activations Density 0.023%

    No Known Activations