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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. 1-RES-JB
    11. 14158
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    Explanations

    phrases related to time and scheduling

    oai_token-act-pair · gpt-3.5-turbo

    references to scheduled times and the word "meddling"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ographic
    -0.79
     Pon
    -0.79
    usha
    -0.77
    PATH
    -0.76
    Pierre
    -0.72
    POS
    -0.68
    onet
    -0.67
    Anth
    -0.67
    Directory
    -0.67
    kson
    -0.66
    POSITIVE LOGITS
    htaking
    0.90
     Nieto
    0.81
    linger
    0.76
    olean
    0.73
     Nvidia
    0.72
    umbn
    0.69
    tle
    0.66
    ierrez
    0.66
     medd
    0.65
    ivia
    0.65
    Activations Density 0.031%

    No Known Activations