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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. 9-RES-JB
    11. 17492
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    Explanations

    references to experience, skills, and background in various contexts such as job descriptions and qualifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating levels of experience and qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onement
    -0.78
    ipple
    -0.72
    issions
    -0.70
    ipples
    -0.68
    Round
    -0.68
     Countdown
    -0.65
    antle
    -0.65
     Ending
    -0.64
    okes
    -0.64
    ovember
    -0.62
    POSITIVE LOGITS
     familiarity
    1.59
     expertise
    1.52
     knowledge
    1.45
    knowledge
    1.22
     skills
    1.14
     inexper
    1.13
     knowledgeable
    1.13
    Know
    1.10
     fluent
    1.09
     proficiency
    1.07
    Activations Density 1.083%

    No Known Activations