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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. 2840
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    Explanations

    proper nouns related to a specific institution (UCLA) or person (Griffith) as well as medical terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of institutions and notable individuals associated with UCLA

    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
    ograp
    -0.93
    ologies
    -0.88
    76561
    -0.87
    urity
    -0.83
    Ò
    -0.81
    alez
    -0.78
    ophys
    -0.77
    ography
    -0.77
    ority
    -0.75
    owers
    -0.74
    POSITIVE LOGITS
     Staples
    0.70
     Schwarzenegger
    0.69
    INGTON
    0.67
    ysis
    0.65
    enhagen
    0.63
     Chargers
    0.62
    erey
    0.62
    yz
    0.61
     Gord
    0.60
     Fraz
    0.58
    Activations Density 0.270%

    No Known Activations