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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. 9552
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    Explanations

    references related to construction, building, and construction workers

    oai_token-act-pair · gpt-3.5-turbo

    references to construction professionals and builders

    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
    mia
    -0.87
    ties
    -0.76
    phis
    -0.76
    inki
    -0.72
    vor
    -0.70
    orie
    -0.69
    ivid
    -0.69
    mic
    -0.67
    orious
    -0.66
    izon
    -0.66
    POSITIVE LOGITS
     builder
    1.04
    builder
    1.03
     Builder
    0.82
    Builder
    0.78
     builders
    0.72
    STRUCT
    0.71
     Clicker
    0.70
     guiName
    0.70
     apprentices
    0.65
     Robo
    0.65
    Activations Density 0.008%

    No Known Activations