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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. 4-RES-JB
    11. 12548
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    Explanations

    words related to outdoor activities and physical exertion, especially in nature

    oai_token-act-pair · gpt-3.5-turbo

    references to steep terrain and related outdoor activities

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

    No Comments

    Negative Logits
     Manafort
    -0.78
     Frieza
    -0.75
     reinvest
    -0.71
    metics
    -0.70
     Pharmaceutical
    -0.69
    ionage
    -0.68
    otten
    -0.68
     Stark
    -0.66
     OPEC
    -0.65
    sei
    -0.62
    POSITIVE LOGITS
     hikers
    0.97
     sled
    0.95
     padd
    0.89
     canoe
    0.88
     climbing
    0.87
     hiking
    0.87
     climbers
    0.86
     climbs
    0.86
    icult
    0.85
     paddle
    0.82
    Activations Density 0.380%

    No Known Activations