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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. 13023
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    Explanations

    specific dates and times

    oai_token-act-pair · gpt-3.5-turbo

    time-related expressions and dates

    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
     ASAP
    -0.54
    "),
    -0.53
    anchester
    -0.52
    ").
    -0.51
    .).
    -0.51
     vulner
    -0.50
    ').
    -0.50
    ancial
    -0.49
    zl
    -0.49
    hesive
    -0.48
    POSITIVE LOGITS
     however
    0.72
     meanwhile
    0.66
    pite
    0.64
    imester
    0.57
     refres
    0.56
    ety
    0.52
    itialized
    0.50
    numbered
    0.49
    ĻĤ
    0.49
     meantime
    0.48
    Activations Density 0.576%

    No Known Activations