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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. 1-RES-JB
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    Explanations

    specific mentions of "American Airlines" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific airlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢ
    -0.74
     Schne
    -0.68
    obj
    -0.63
     Jah
    -0.62
    SPONSORED
    -0.62
     Xander
    -0.61
    ests
    -0.61
    ector
    -0.60
     Hoo
    -0.60
     Wolver
    -0.60
    POSITIVE LOGITS
     Airlines
    1.40
    chwitz
    1.09
     Airways
    0.89
    selage
    0.89
     airlines
    0.86
     carriers
    0.86
    daq
    0.85
    wagon
    0.84
    afety
    0.84
    allery
    0.83
    Activations Density 0.009%

    No Known Activations