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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. 6-RES-JB
    11. 3535
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    Explanations

    names of individuals, potentially related to news articles or police reports

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.82
    soDeliveryDate
    -0.81
    umbn
    -0.81
    sonian
    -0.79
    ancies
    -0.79
    ãĥĩãĤ£
    -0.79
    ishers
    -0.76
    oppable
    -0.75
    icrobial
    -0.75
    ERAL
    -0.75
    POSITIVE LOGITS
     Ventura
    1.04
     Gomez
    1.00
     Diaz
    0.98
     Reyes
    0.93
     Flores
    0.91
     Ramos
    0.91
     Hernandez
    0.90
     Ortiz
    0.90
     Gonzalez
    0.89
     Ramirez
    0.88
    Activations Density 0.079%

    No Known Activations