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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. 7-RES-JB
    11. 20022
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    Explanations

    mentions of monkeys

    oai_token-act-pair · gpt-3.5-turbo

    references to monkeys and their related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.88
    inen
    -0.78
    oppable
    -0.74
     Lauder
    -0.72
    encer
    -0.72
    ÑĮ
    -0.71
    IGH
    -0.71
    vy
    -0.70
    OHN
    -0.69
    HUD
    -0.67
    POSITIVE LOGITS
    zee
    0.96
    zees
    0.93
    pox
    0.87
     wrench
    0.84
     chimpanzees
    0.79
     monkeys
    0.78
     apes
    0.78
     Jiu
    0.74
     Haram
    0.74
     monkey
    0.74
    Activations Density 0.033%

    No Known Activations