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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. 3000
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    INDEX
    Explanations

    words related to specific interests or hobbies, such as games, language, music, smoking, and sports

    oai_token-act-pair · gpt-3.5-turbo

    topics related to various forms of entertainment and hobbies

    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
     Canaver
    -0.68
     TEAM
    -0.64
    mble
    -0.56
     Carbon
    -0.55
     INTO
    -0.54
     veto
    -0.54
    tein
    -0.53
    ILLE
    -0.53
     Sie
    -0.53
     summary
    -0.53
    POSITIVE LOGITS
     sensibilities
    0.83
    liness
    0.83
     ideals
    0.78
     rhythms
    0.76
     hobbies
    0.74
     tenets
    0.73
    establishment
    0.73
    anship
    0.72
     pursuits
    0.72
     philosophies
    0.72
    Activations Density 0.504%

    No Known Activations