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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 20969
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    Explanations

    vehicles or modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    words related to different types of vehicles or modes of transportation

    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
     Seym
    -0.87
     almonds
    -0.73
     Tsukuyomi
    -0.71
     Diss
    -0.70
    metics
    -0.68
     pores
    -0.68
    èª
    -0.66
     Sass
    -0.65
    ukong
    -0.65
     Lauder
    -0.64
    POSITIVE LOGITS
    boat
    1.09
    boats
    1.06
    addle
    1.00
     ride
    1.00
    bike
    0.99
    crew
    0.97
     transporting
    0.97
    obiles
    0.95
     rides
    0.94
     bikes
    0.92
    Activations Density 0.207%

    No Known Activations