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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. 17277
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    Explanations

    specific locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific cities and geographic locations

    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
     Dalai
    -0.68
    akable
    -0.66
    ::::::::
    -0.66
    VALUE
    -0.65
    bre
    -0.64
    sych
    -0.64
    ãĤ¨
    -0.64
    rious
    -0.64
    ITNESS
    -0.63
    Japanese
    -0.62
    POSITIVE LOGITS
     neighborhoods
    1.30
     County
    1.29
     suburbs
    1.24
     neighbourhoods
    1.20
     districts
    1.19
     counties
    1.17
     precincts
    1.15
     suburb
    1.12
     City
    1.11
     county
    1.05
    Activations Density 0.254%

    No Known Activations