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    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. 18352
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    Explanations

    terms related to technology and data processing, such as "meaning machine", "economy", "knowledge economy", "uncertainty management", "decision engine", "value chains", "recommendation engine", and "prediction machine"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to systems, processes, and automation in various contexts

    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
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    Negative Logits
    apeake
    -0.84
    å§«
    -0.75
    éĹĺ
    -0.75
    soDeliveryDate
    -0.71
    é¾įåĸļ士
    -0.71
    aples
    -0.71
    ãĥ´
    -0.71
    ãĤ¦ãĤ¹
    -0.70
    ãĥĥãĥī
    -0.70
    ãĤ¨ãĥ«
    -0.69
    POSITIVE LOGITS
     tremend
    0.77
    undown
    0.73
    ilitating
    0.67
     scient
    0.66
    iae
    0.66
    illance
    0.64
     Scientology
    0.63
     ank
    0.63
    itory
    0.62
     mitigation
    0.62
    Activations Density 0.600%

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