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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    references related to the United Nations and its officials

    oai_token-act-pair · gpt-3.5-turbo

    references to the United Nations and its officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    paio
    -1.00
    veland
    -0.92
     Bucc
    -0.86
     homeowner
    -0.81
     Arpaio
    -0.81
    osaurus
    -0.77
     Tide
    -0.73
     subdivision
    -0.72
     Advantage
    -0.72
    _{
    -0.71
    POSITIVE LOGITS
     UNESCO
    1.09
     envoy
    1.07
     Geneva
    1.01
     humanitarian
    0.99
     UNHCR
    0.97
     intervene
    0.94
     UN
    0.92
     Refugees
    0.91
     inspectors
    0.87
     refugee
    0.87
    Activations Density 0.289%

    No Known Activations