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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. 23049
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    Explanations

    numbers related to the quantity of seats

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative seats and their counts

    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
    ogle
    -0.70
    issan
    -0.70
    vernment
    -0.70
    ctica
    -0.65
     Scouting
    -0.63
    ISS
    -0.62
    stic
    -0.62
    OPER
    -0.61
     Turtles
    -0.61
     Miko
    -0.61
    POSITIVE LOGITS
     seats
    1.47
    seat
    1.29
     seat
    1.26
     Seat
    1.12
     Tickets
    1.00
    holders
    0.96
     seating
    0.91
     tickets
    0.90
    manship
    0.84
    mates
    0.84
    Activations Density 0.008%

    No Known Activations