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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. 0-RES-JB
    11. 2662
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    Explanations

    dates written in the format "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific dates in July

    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
    vantage
    -0.67
    anty
    -0.67
    alog
    -0.66
    ileged
    -0.62
    otom
    -0.62
    vre
    -0.62
    itect
    -0.61
    stood
    -0.61
     nic
    -0.60
    Choice
    -0.60
    POSITIVE LOGITS
     July
    3.25
     June
    2.67
    July
    2.62
     August
    2.59
     September
    2.42
     October
    2.41
     April
    2.40
     January
    2.39
     November
    2.39
     February
    2.37
    Activations Density 0.019%

    No Known Activations