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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. 0-RES-JB
    11. 20258
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    INDEX
    Explanations

    technology-related terms, specifically related to technology companies like Lenovo and Motorola

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific technology brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    outh
    -0.71
    ippi
    -0.67
     drag
    -0.67
    jam
    -0.65
     sob
    -0.65
    åº
    -0.64
    ocaust
    -0.64
     hop
    -0.62
     Cup
    -0.62
     fucked
    -0.61
    POSITIVE LOGITS
     Lenovo
    2.95
     Motorola
    2.59
     Panasonic
    2.32
     VMware
    2.20
     Nokia
    2.17
     Dell
    2.16
     Huawei
    2.08
     Cisco
    2.07
     IBM
    2.06
     Xiaomi
    1.94
    Activations Density 0.050%

    No Known Activations