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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
    11. 2736
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    Explanations

    references to the city of Tempe

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city Tempe

    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
    schild
    -0.84
    GV
    -0.80
    rl
    -0.79
    obin
    -0.78
    anson
    -0.73
    RH
    -0.72
     Swanson
    -0.70
    fell
    -0.70
    DERR
    -0.69
    iannopoulos
    -0.67
    POSITIVE LOGITS
     Tem
    3.35
    Tem
    1.83
     ke
    1.20
     Baton
    1.16
    tem
    1.12
     Tun
    1.04
     Temple
    1.03
     Scot
    0.98
     Kem
    0.98
     Gem
    0.97
    Activations Density 0.039%

    No Known Activations