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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. 11-RES-JB
    6. 2945
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    INDEX
    Explanations

    words related to receiving or subscribing to programs that offer support

    oai_token-act-pair · gpt-3.5-turbo

    references to support programs and subscription opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.58
    100
    -0.51
    yards
    -0.50
    OVER
    -0.49
     Loss
    -0.49
    ie
    -0.48
    ues
    -0.47
    ier
    -0.47
    geist
    -0.47
    EH
    -0.45
    POSITIVE LOGITS
     teasp
    0.60
    EStreamFrame
    0.57
    verbal
    0.55
     incent
    0.55
     glim
    0.54
    ãĥ¯ãĥ³
    0.53
    risome
    0.53
     unbeliev
    0.52
    ĸļ士
    0.51
    ãĤ¦ãĤ¹
    0.51
    Activations Density 0.493%

    No Known Activations