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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. 9-RES-JB
    11. 13276
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    Explanations

    transport-related words and actions

    oai_token-act-pair · gpt-3.5-turbo

    actions related to the movement and transport of people or goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    acci
    -0.81
     pores
    -0.74
     ende
    -0.69
    yrights
    -0.68
    aces
    -0.68
     brow
    -0.64
     Prediction
    -0.64
    rences
    -0.63
     pact
    -0.63
    akening
    -0.62
    POSITIVE LOGITS
     passengers
    1.35
     cargo
    1.18
     luggage
    1.10
     goods
    1.09
     freight
    1.05
     belongings
    1.04
     supplies
    1.02
     groceries
    1.02
     containers
    1.00
     baggage
    0.97
    Activations Density 0.341%

    No Known Activations