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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. 1962
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    Explanations

    specific mentions of airline companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various airlines

    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
    arios
    -0.73
    icle
    -0.73
    ures
    -0.68
    otte
    -0.66
    olithic
    -0.66
    olith
    -0.65
    idency
    -0.65
    ensional
    -0.65
     Jah
    -0.65
    efer
    -0.65
    POSITIVE LOGITS
     Airlines
    1.16
     flights
    0.91
     passenger
    0.90
     passengers
    0.89
     airlines
    0.88
     Flight
    0.87
     Emirates
    0.86
     airline
    0.85
     flight
    0.84
    Pass
    0.82
    Activations Density 0.045%

    No Known Activations