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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. 1920
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    mentions of news agencies

    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
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    No Comments

    Negative Logits
    yle
    -0.77
     Rounds
    -0.73
     Seg
    -0.65
    kai
    -0.62
     Bened
    -0.61
    ridge
    -0.61
     Fall
    -0.60
     Tea
    -0.59
    nda
    -0.59
    ington
    -0.59
    POSITIVE LOGITS
     agency
    1.01
     agencies
    0.83
     announcer
    0.79
     Agency
    0.79
    agents
    0.77
    ioch
    0.76
    myra
    0.74
     regulator
    0.74
    ounters
    0.73
    agency
    0.72
    Activations Density 0.015%

    No Known Activations