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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 8
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    Explanations

    social media or messaging platform-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to popular communication platforms or apps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "whatsapp"

    oai_token-act-pair · gpt-4-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.85
     COURT
    -0.77
    ¹
    -0.75
    HCR
    -0.74
    PIN
    -0.74
    laws
    -0.74
    OUS
    -0.72
    WAYS
    -0.71
    reau
    -0.70
    AZ
    -0.69
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    0.79
     degraded
    0.67
     collapsing
    0.65
     degrade
    0.64
    agara
    0.64
    chance
    0.64
    FactoryReloaded
    0.64
    icing
    0.62
     defy
    0.59
    eri
    0.59
    Activations Density 0.000%

    No Known Activations