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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. 8-RES-JB
    11. 23835
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    Explanations

    time-related phrases or quantities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantities and statistics in a demographic context

    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
    Not in Any Lists

    No Comments

    Negative Logits
    gall
    -0.69
    ãĤ´ãĥ³
    -0.68
    tein
    -0.64
    \\\\\\\\
    -0.63
    saf
    -0.60
    forts
    -0.60
    tain
    -0.59
    bill
    -0.58
    ffen
    -0.58
    iom
    -0.56
    POSITIVE LOGITS
     Duration
    0.74
     Seller
    0.66
     Exploration
    0.64
    Duration
    0.63
     Participants
    0.63
     Supplementary
    0.61
     duration
    0.59
    ipolar
    0.58
    ummies
    0.58
     thereafter
    0.57
    Activations Density 0.023%

    No Known Activations