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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. 4-RES-JB
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    Explanations

    references to the city of Beijing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    references to locations or events related to Beijing

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RH
    -0.74
    odic
    -0.73
    RANT
    -0.73
    oway
    -0.72
    osate
    -0.70
     Trooper
    -0.69
    orial
    -0.68
    pent
    -0.66
    lihood
    -0.66
    adoes
    -0.66
    POSITIVE LOGITS
    ijing
    1.14
     Jinping
    1.09
     Beijing
    1.03
     Lumpur
    0.96
    jing
    0.91
     Yuan
    0.91
    zhou
    0.85
     Jing
    0.83
     Tai
    0.81
    wei
    0.80
    Activations Density 0.008%

    No Known Activations