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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. 1-RES-JB
    6. 8704
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    INDEX
    Explanations

    phrases related to timeliness and speed

    oai_token-act-pair · gpt-3.5-turbo

    references to timeliness and speed in completion of tasks or processes

    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
    rug
    -0.82
    Ring
    -0.80
    oat
    -0.71
    onel
    -0.69
    ain
    -0.68
    spl
    -0.68
    aden
    -0.68
    berman
    -0.68
    athing
    -0.67
    hate
    -0.67
    POSITIVE LOGITS
     timely
    1.12
    aneously
    0.93
     opportunity
    0.81
     predec
    0.78
     appre
    0.78
     sust
    0.78
     inacc
    0.74
     defic
    0.74
     showc
    0.72
     nodd
    0.72
    Activations Density 0.009%

    No Known Activations