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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. 7-RES-JB
    11. 7823
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    Explanations

    people or groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to people or groups characterized by the word "who."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Darling
    -0.68
     Ens
    -0.61
     veterinary
    -0.60
    ANK
    -0.60
    ........
    -0.60
     Pryor
    -0.59
     Urug
    -0.59
    ansky
    -0.58
    AN
    -0.58
     Ramirez
    -0.58
    POSITIVE LOGITS
    odcast
    0.87
    isd
    0.80
    arnaev
    0.80
    oped
    0.79
     accompanies
    0.77
     benefited
    0.76
    oping
    0.75
    ever
    0.73
    iseum
    0.72
     participated
    0.72
    Activations Density 0.166%

    No Known Activations