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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. 11-RES-JB
    6. 8286
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    INDEX
    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    recurring mentions of the name "Ann"

    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
     Scouting
    -0.65
     dare
    -0.65
     questioning
    -0.63
     passage
    -0.59
     typing
    -0.59
     scratching
    -0.59
     gym
    -0.58
    scene
    -0.58
     dogs
    -0.58
     Combine
    -0.58
    POSITIVE LOGITS
    ouncing
    1.61
    ihilation
    1.60
    ounces
    1.53
    ounced
    1.52
    ihil
    1.51
    ounce
    1.46
    iversary
    1.39
    unciation
    1.39
    apolis
    1.34
    abel
    1.30
    Activations Density 0.024%

    No Known Activations