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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. 3-RES-JB
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    Explanations

    specific mentions of the cybersecurity company "Kaspersky"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific cybersecurity company and its products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erer
    -0.66
    ered
    -0.62
    ammed
    -0.62
     enactment
    -0.60
    entary
    -0.59
    erous
    -0.58
     wheelchair
    -0.58
     taxable
    -0.57
    mits
    -0.56
    uct
    -0.56
    POSITIVE LOGITS
    aspers
    1.32
    irus
    0.97
    ignty
    0.90
    isoft
    0.90
    Afee
    0.89
    Downloadha
    0.88
    DragonMagazine
    0.86
     suspic
    0.84
     Mehran
    0.82
    inventoryQuantity
    0.80
    Activations Density 0.004%

    No Known Activations