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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. 9-RES-JB
    6. 7023
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    Explanations

    organizations or entities related to online platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to brands, products, or specific applications

    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
    natureconservancy
    -0.73
    ãĥŁ
    -0.72
    interstitial
    -0.67
     traged
    -0.64
    NetMessage
    -0.64
    Preview
    -0.62
    ĵĺ
    -0.60
    objects
    -0.60
    INC
    -0.59
    hemy
    -0.58
    POSITIVE LOGITS
    hyde
    1.02
    hower
    0.92
    alus
    0.78
    ulty
    0.77
     Restaur
    0.72
    abase
    0.72
    geon
    0.70
     Piper
    0.68
    bag
    0.67
    eteria
    0.67
    Activations Density 0.261%

    No Known Activations