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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. 8-RES-JB
    6. 7479
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    Explanations

    references to or descriptions related to prominent or notable individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to "figures" in various contexts, especially in visual or descriptive language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IFE
    -0.74
    termination
    -0.73
    DAQ
    -0.72
    ModLoader
    -0.72
    velength
    -0.71
    umenthal
    -0.70
    é¾
    -0.69
    bey
    -0.69
    ntil
    -0.68
    cyclopedia
    -0.67
    POSITIVE LOGITS
    head
    1.00
     prominently
    1.00
     skating
    0.99
    heads
    0.88
    enance
    0.88
    books
    0.77
     macros
    0.75
    figure
    0.75
     figures
    0.75
    downs
    0.73
    Activations Density 0.036%

    No Known Activations