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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. 5-RES-JB
    6. 16844
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    Explanations

    locations or concepts related to airports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of airports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÑĮ
    -0.80
    vironment
    -0.78
    MpServer
    -0.72
    Else
    -0.72
    vol
    -0.72
    chn
    -0.71
    Beg
    -0.68
    ":""},{"
    -0.67
    hots
    -0.65
    orian
    -0.65
    POSITIVE LOGITS
     hangar
    1.04
     airport
    1.00
     Airport
    1.00
     airports
    0.95
     clearance
    0.93
     runway
    0.84
     terminals
    0.80
     Plaza
    0.80
     terminal
    0.80
     lounge
    0.76
    Activations Density 0.017%

    No Known Activations