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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 news agency "Xinhua."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific news agency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    rants
    -0.67
    hematically
    -0.67
    acies
    -0.67
    stood
    -0.66
     Dungeons
    -0.65
    FactoryReloaded
    -0.64
    benefit
    -0.64
     ancest
    -0.63
    onet
    -0.63
    roll
    -0.63
    POSITIVE LOGITS
    hua
    1.31
    jiang
    1.02
    News
    0.86
    elta
    0.79
     Xin
    0.77
     Hua
    0.77
     Guan
    0.75
     Mub
    0.75
    ibo
    0.74
    ITED
    0.74
    Activations Density 0.010%

    No Known Activations