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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. 0-RES-JB
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    Explanations

    mentions of aircraft in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to types of aircraft and planes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hirt
    -0.70
     CRC
    -0.65
     Drink
    -0.65
    thel
    -0.63
    mary
    -0.63
    rape
    -0.62
     Berry
    -0.61
    holder
    -0.61
    asc
    -0.61
    @@
    -0.60
    POSITIVE LOGITS
     planes
    4.01
     Planes
    2.85
    planes
    2.83
     airplanes
    2.59
     plane
    2.24
     jets
    2.20
     Plane
    2.00
    plane
    1.89
     flights
    1.87
     aircraft
    1.75
    Activations Density 0.015%

    No Known Activations