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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. 1-RES-JB
    6. 1092
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    INDEX
    Explanations

    words related to residential areas or development

    oai_token-act-pair · gpt-3.5-turbo

    references to residential development and housing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gans
    -0.84
    POS
    -0.75
    xon
    -0.74
    bite
    -0.74
    ĸļ
    -0.72
    bring
    -0.72
    heimer
    -0.71
    urs
    -0.69
    Bone
    -0.69
    arak
    -0.69
    POSITIVE LOGITS
     residential
    1.32
     dwellings
    1.15
     Residential
    1.10
     residences
    1.02
     neighb
    0.98
     buildings
    0.97
     occupancy
    0.96
     tenancy
    0.90
     dwelling
    0.88
     apartments
    0.88
    Activations Density 0.006%

    No Known Activations