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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 8789
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    Explanations

    dates, specifically in the form of "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "January" followed by numerical dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     orcs
    -0.65
    aho
    -0.64
     glances
    -0.62
    ography
    -0.61
    ific
    -0.60
    ologies
    -0.59
     absorbs
    -0.59
     lov
    -0.59
     totem
    -0.58
    ileged
    -0.57
    POSITIVE LOGITS
     January
    3.21
     February
    2.75
    January
    2.66
     December
    2.60
     November
    2.52
     October
    2.41
     July
    2.40
     September
    2.34
     March
    2.34
     April
    2.29
    Activations Density 0.015%

    No Known Activations