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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
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    Explanations

    proper nouns related to individuals' names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    fare
    -0.94
    sonian
    -0.81
    soDeliveryDate
    -0.77
    liest
    -0.77
    urst
    -0.75
    ership
    -0.75
    rians
    -0.75
    rie
    -0.75
    ERAL
    -0.74
    ãĤ¼ãĤ¦ãĤ¹
    -0.73
    POSITIVE LOGITS
     Diaz
    1.06
     Gomez
    0.92
     Flores
    0.89
     Hernandez
    0.89
     Reyes
    0.88
     Nieto
    0.87
     Gonzalez
    0.87
    quez
    0.87
     Perez
    0.85
     Garcia
    0.83
    Activations Density 0.094%

    No Known Activations