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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    Explanations

    locations and entities related to the state of Louisiana

    oai_token-act-pair · gpt-3.5-turbo

    references to the geographical locations of New Orleans and Louisiana

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.87
    bsp
    -0.82
    abul
    -0.82
    sch
    -0.80
    isks
    -0.77
    eren
    -0.77
    sonian
    -0.75
    ifications
    -0.75
    ãĥ¼ãĥ«
    -0.75
    ullah
    -0.74
    POSITIVE LOGITS
     Parish
    1.08
     Pelicans
    1.07
     Purchase
    0.91
     Lafayette
    0.86
     Saints
    0.86
     Rouge
    0.80
     Vie
    0.76
     parish
    0.73
    iana
    0.72
     Hornets
    0.67
    Activations Density 0.057%

    No Known Activations