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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. 7-RES-JB
    11. 14382
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    Explanations

    medical conditions, health-related terms, and technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health conditions, risks, and physiological measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.80
    kef
    -0.72
    »Ĵ
    -0.70
    odcast
    -0.70
    parser
    -0.64
    outhern
    -0.64
     somew
    -0.62
    ascript
    -0.62
    icians
    -0.61
    podcast
    -0.61
    POSITIVE LOGITS
     capacity
    1.03
     rates
    0.99
     intensity
    0.98
     density
    0.96
     burden
    0.95
     throughput
    0.95
     burdens
    0.94
     workload
    0.93
     capability
    0.93
     expenditures
    0.92
    Activations Density 0.374%

    No Known Activations