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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. 6-RES-JB
    6. 24199
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    Explanations

    mentions of specific physical locations or sites

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or sites

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ornia
    -0.81
    olyn
    -0.79
    sen
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    icipated
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    lass
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    cia
    -0.70
     Leilan
    -0.70
    thood
    -0.69
    atures
    -0.67
    ths
    -0.65
    POSITIVE LOGITS
     site
    0.79
     Site
    0.76
     sites
    0.76
    ologies
    0.74
     location
    0.74
     redevelopment
    0.72
    plan
    0.70
    builders
    0.69
     locations
    0.68
    keeper
    0.68
    Activations Density 0.027%

    No Known Activations