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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. 6-RES-JB
    11. 10995
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    Explanations

    phrases related to airlines and flight operations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of airlines

    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
    Not in Any Lists

    No Comments

    Negative Logits
    arios
    -0.82
    icle
    -0.77
    otte
    -0.70
    naires
    -0.70
    ector
    -0.69
    orah
    -0.68
    ebook
    -0.67
    ures
    -0.66
    ainer
    -0.66
    ensional
    -0.64
    POSITIVE LOGITS
     Airlines
    1.10
     Emirates
    0.91
     Flight
    0.81
     hangar
    0.81
     flights
    0.80
     flight
    0.80
     airlines
    0.80
    Pass
    0.78
     airline
    0.78
     superiority
    0.76
    Activations Density 0.029%

    No Known Activations