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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. 23484
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    Explanations

    references related to specific locations

    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations and associated entities

    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
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    Negative Logits
     Plaintiff
    -0.56
     Plaint
    -0.50
     queues
    -0.46
     booths
    -0.46
     Poles
    -0.45
     lapt
    -0.45
     cumbers
    -0.44
     Citiz
    -0.43
     fixtures
    -0.43
     mobs
    -0.43
    POSITIVE LOGITS
    isine
    0.77
     acronym
    0.66
    -)
    0.65
    wikipedia
    0.61
    ="
    0.61
    Enlarge
    0.61
    .]
    0.61
    JV
    0.60
    ibliography
    0.59
    Editor
    0.59
    Activations Density 1.945%

    No Known Activations