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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. 9-RES-JB
    11. 9034
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    INDEX
    Explanations

    descriptions of construction projects and historical sites

    oai_token-act-pair · gpt-3.5-turbo

    references to historical construction projects and significant timelines

    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
    ARGET
    -0.78
     Rosenstein
    -0.74
    nesota
    -0.72
     inbox
    -0.70
     Fiorina
    -0.70
     FISA
    -0.70
    reply
    -0.69
     Schumer
    -0.66
    aptop
    -0.66
    etheless
    -0.66
    POSITIVE LOGITS
     excav
    1.34
     archaeologists
    1.29
     excavation
    1.22
     tourists
    1.16
     hikers
    1.15
     geological
    1.13
     settlers
    1.10
     UNESCO
    1.10
     explorers
    1.10
     pilgrims
    1.04
    Activations Density 1.108%

    No Known Activations