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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 16805
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    Explanations

    advice or instructions related to home maintenance and safety

    oai_token-act-pair · gpt-3.5-turbo

    text related to construction and safety measures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agonist
    -0.83
     Samoa
    -0.81
    India
    -0.80
    Hunt
    -0.79
    thood
    -0.76
    imester
    -0.75
    ozyg
    -0.75
    GET
    -0.74
    arenthood
    -0.73
    eln
    -0.73
    POSITIVE LOGITS
     roofs
    1.83
     doors
    1.82
     fences
    1.76
     windows
    1.75
     ceilings
    1.75
     walls
    1.75
     curtains
    1.60
     pipes
    1.57
     roof
    1.56
     floors
    1.55
    Activations Density 0.497%

    No Known Activations