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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. 7-RES-JB
    11. 3025
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    INDEX
    Explanations

    phrases related to physical locations, specifically headquarters

    oai_token-act-pair · gpt-3.5-turbo

    references to organizational headquarters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isher
    -0.78
    spir
    -0.74
    ebook
    -0.72
    ef
    -0.72
     mell
    -0.71
    vous
    -0.70
    flix
    -0.70
    nel
    -0.69
    cible
    -0.69
    erer
    -0.68
    POSITIVE LOGITS
     headquarters
    0.95
     building
    0.83
    enture
    0.77
     annex
    0.77
     buildings
    0.76
     tower
    0.75
    cius
    0.74
     Building
    0.74
     address
    0.74
     premises
    0.73
    Activations Density 0.036%

    No Known Activations