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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. 12-RES-JB
    11. 4185
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    Explanations

    players or individuals associated with sports teams, particularly focusing on their performance and statistics

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    patterns of names or proper nouns, particularly those of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ecause
    -0.63
    0000000
    -0.62
    nown
    -0.56
    Constructed
    -0.55
     allowances
    -0.54
    INFO
    -0.54
     staples
    -0.51
    cam
    -0.51
    dimension
    -0.51
    Connector
    -0.51
    POSITIVE LOGITS
     McGregor
    0.89
     Santana
    0.80
     Burnett
    0.77
     McGu
    0.77
     Ortiz
    0.75
     Fal
    0.73
     Krug
    0.72
     Duff
    0.72
     Rodriguez
    0.72
     Guer
    0.72
    Activations Density 0.139%

    No Known Activations