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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. 7-RES-JB
    6. 19032
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    INDEX
    Explanations

    phrases involving determining if something is worth it

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to value or worth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.69
    Assistant
    -0.69
    unn
    -0.65
    rones
    -0.64
    ARDS
    -0.64
    Anne
    -0.63
    etz
    -0.62
    ãĤ¦ãĤ¹
    -0.61
    Department
    -0.61
    andi
    -0.61
    POSITIVE LOGITS
     hassle
    0.74
     someday
    0.72
    $$$$
    0.71
     dearly
    0.69
    $$
    0.68
     gamble
    0.68
     taxpayers
    0.65
     peanuts
    0.65
    .$
    0.65
     sacrifices
    0.64
    Activations Density 0.086%

    No Known Activations