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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 1345
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    references to media companies

    oai_token-act-pair · gpt-3.5-turbo

    keywords and terms related to media, systems, and infrastructure

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

    No Comments

    Negative Logits
    uddin
    -0.67
    ĸļ
    -0.66
    idis
    -0.64
    idays
    -0.63
    iland
    -0.61
    eah
    -0.59
    yip
    -0.58
    nah
    -0.57
    isphere
    -0.57
    incent
    -0.57
    POSITIVE LOGITS
    ierre
    0.67
    Dou
    0.63
    ħĭ
    0.62
    estial
    0.61
    igham
    0.61
     Psy
    0.60
    ioxide
    0.60
     Soup
    0.59
    taboola
    0.57
    nect
    0.57
    Activations Density 1.095%

    No Known Activations