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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of airport-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    mentions and references to airports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÑĮ
    -0.83
    Else
    -0.77
    ktop
    -0.73
    vironment
    -0.69
    chn
    -0.69
    THER
    -0.67
    Beg
    -0.66
    andro
    -0.66
    wcsstore
    -0.65
    vol
    -0.65
    POSITIVE LOGITS
     airport
    1.09
     Airport
    1.07
     hangar
    1.02
     airports
    0.99
     clearance
    0.85
     runway
    0.85
     Plaza
    0.80
     terminal
    0.77
     Airlines
    0.77
     terminals
    0.75
    Activations Density 0.017%

    No Known Activations