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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
    11. 21506
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    Explanations

    specific mentions of aircraft or airplanes

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of planes or aircraft

    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
     Camden
    -0.86
    PUT
    -0.85
     Cumber
    -0.84
    UGC
    -0.83
    Nev
    -0.75
    TN
    -0.74
    Tenn
    -0.73
    Ju
    -0.72
     Maryland
    -0.72
    ODE
    -0.72
    POSITIVE LOGITS
     planes
    1.57
    planes
    1.30
     Planes
    1.28
    walker
    1.20
     airplanes
    1.17
    selage
    1.08
    pread
    1.07
     plane
    1.04
     jets
    1.01
    plane
    1.00
    Activations Density 0.005%

    No Known Activations