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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. 3-RES-JB
    11. 6532
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    Explanations

    references to physical activities and terrains such as hiking, skiing, and steep inclines

    oai_token-act-pair · gpt-3.5-turbo

    terms related to outdoor activities and terrain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reloaded
    -0.76
     Manafort
    -0.74
     Frieza
    -0.73
     Pharmaceutical
    -0.73
    ionage
    -0.72
    otten
    -0.69
     Kane
    -0.69
     OPEC
    -0.69
     Reborn
    -0.68
     betrayed
    -0.65
    POSITIVE LOGITS
     canoe
    0.92
     biking
    0.91
     sled
    0.90
     hikers
    0.90
    conservancy
    0.90
     paddle
    0.89
     padd
    0.89
     hiking
    0.86
     camping
    0.84
    Walk
    0.84
    Activations Density 0.586%

    No Known Activations