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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. 6-RES-JB
    11. 3553
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    Explanations

    specific locations or establishments frequented by people for various activities

    oai_token-act-pair · gpt-3.5-turbo

    locations and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    obs
    -0.68
    ratulations
    -0.67
     passports
    -0.63
    anson
    -0.62
     coherent
    -0.62
     lyr
    -0.62
    sle
    -0.60
     campaigner
    -0.59
     puzzle
    -0.58
     glimps
    -0.58
    POSITIVE LOGITS
    itent
    0.86
    grounds
    0.77
     headquarters
    0.77
     Headquarters
    0.76
    aimon
    0.74
     premises
    0.74
    orage
    0.73
     Simulator
    0.72
     helm
    0.72
     plaza
    0.70
    Activations Density 0.253%

    No Known Activations