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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. 7-RES-JB
    6. 15781
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    Explanations

    time-related information such as days of the week and television scheduling

    oai_token-act-pair · gpt-3.5-turbo

    time references related to specific days and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unsur
    -0.73
     unaware
    -0.66
    bench
    -0.64
     insider
    -0.59
     leverage
    -0.59
     deserved
    -0.59
     billions
    -0.58
     unjust
    -0.58
     inf
    -0.58
     inex
    -0.57
    POSITIVE LOGITS
    amps
    0.78
    oldown
    0.78
     Radius
    0.74
    pm
    0.71
    arer
    0.71
    outheast
    0.71
    eters
    0.68
     onwards
    0.66
     TBA
    0.66
    uters
    0.66
    Activations Density 0.106%

    No Known Activations