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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. 8-RES-JB
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    Explanations

    phrases related to locations like parking lots

    oai_token-act-pair · gpt-3.5-turbo

    mentions of parking lots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.83
    ãģĦ
    -0.75
    inventoryQuantity
    -0.75
    Ô
    -0.73
    CHAT
    -0.73
    catentry
    -0.71
    20439
    -0.71
    HK
    -0.71
    love
    -0.71
    ãĤ¢ãĥ«
    -0.69
    POSITIVE LOGITS
     attendant
    1.05
     entrance
    1.02
     entrances
    1.01
     attendants
    1.00
     doors
    0.93
     brawl
    0.88
     frequ
    0.83
     kios
    0.83
     Massacre
    0.82
     cleaners
    0.81
    Activations Density 0.220%

    No Known Activations