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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. 10-RES-JB
    6. 22436
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    Explanations

    phrases related to persuasion and manipulation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to manipulation and persuasion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.91
    halla
    -0.77
     [+
    -0.76
    Ͻ
    -0.75
    iHUD
    -0.72
    VERTISEMENT
    -0.69
    FactoryReloaded
    -0.69
    EStream
    -0.69
    inventoryQuantity
    -0.68
    ãĤ´ãĥ³
    -0.67
    POSITIVE LOGITS
     consumers
    1.48
     viewers
    1.48
     us
    1.46
     audiences
    1.46
     readers
    1.42
     listeners
    1.41
     Americans
    1.40
     citizens
    1.35
     attendees
    1.33
     unsuspecting
    1.31
    Activations Density 0.520%

    No Known Activations