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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. 10-RES-JB
    11. 6015
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    Explanations

    names of universities and cities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of universities and cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pand
    -0.77
    yip
    -0.72
    sed
    -0.66
     snippets
    -0.66
    istically
    -0.65
    ãĤ¯
    -0.64
    iaries
    -0.64
    istical
    -0.64
    omatic
    -0.64
    blogs
    -0.63
    POSITIVE LOGITS
    ;;;;;;;;;;;;
    1.04
    burgh
    0.82
     Extension
    0.81
     Foundation
    0.80
     Libraries
    0.77
     Municip
    0.76
     Mellon
    0.76
     Press
    0.70
     Partnership
    0.70
     Museum
    0.70
    Activations Density 0.113%

    No Known Activations