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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. 11-RES-JB
    11. 1771
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    Explanations

    information related to water bodies and water-related activities

    oai_token-act-pair · gpt-3.5-turbo

    information related to water levels and environmental conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    boxing
    -0.82
     Fn
    -0.81
     flyers
    -0.79
    actionDate
    -0.78
     Robots
    -0.76
    rones
    -0.76
    anu
    -0.73
     Poster
    -0.72
    urion
    -0.67
     paperback
    -0.67
    POSITIVE LOGITS
     groundwater
    1.69
     ponds
    1.58
     reservoir
    1.54
     rivers
    1.54
     reservoirs
    1.52
     creek
    1.51
     freshwater
    1.50
     lake
    1.48
     river
    1.48
     drainage
    1.46
    Activations Density 0.377%

    No Known Activations