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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. 6-RES-JB
    11. 14974
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    Explanations

    specific time periods, specifically "the night before" or "the day before"

    oai_token-act-pair · gpt-3.5-turbo

    references to events occurring "before" a specified time or event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    area
    -0.80
    found
    -0.69
    azon
    -0.68
    chie
    -0.67
    =-=-=-=-=-=-=-=-
    -0.66
    utter
    -0.65
    gravity
    -0.64
    nce
    -0.63
     ILCS
    -0.59
    onom
    -0.58
    POSITIVE LOGITS
     Thanksgiving
    1.04
     Christmas
    0.78
    actionDate
    0.75
     sunset
    0.75
     dinner
    0.74
     sunrise
    0.74
     noon
    0.73
     payday
    0.73
     deadline
    0.72
    itiz
    0.72
    Activations Density 0.040%

    No Known Activations