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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. 9-RES-JB
    11. 19536
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    Explanations

    entities, objects, or items of interest

    oai_token-act-pair · gpt-3.5-turbo

    specific categories of items, particularly related to books, animals, food, and various products and their specifications

    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
    DragonMagazine
    -0.68
    dds
    -0.68
    cffff
    -0.67
    iance
    -0.63
    ãĤ¦ãĤ¹
    -0.63
     Swordsman
    -0.63
    rament
    -0.62
    cffffcc
    -0.62
     "$:/
    -0.62
    notations
    -0.61
    POSITIVE LOGITS
     shipped
    0.94
     purchased
    0.92
     destined
    0.87
     purch
    0.87
     sold
    0.81
     procurement
    0.78
     suppliers
    0.77
     shipment
    0.76
     purchaser
    0.75
     transported
    0.75
    Activations Density 0.575%

    No Known Activations