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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. 9-RES-JB
    11. 13729
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    Explanations

    dates in the format "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orically
    -0.64
    estones
    -0.62
    enting
    -0.60
    orical
    -0.59
    ocations
    -0.57
    idences
    -0.56
     er
    -0.55
    abad
    -0.55
     tears
    -0.54
    urious
    -0.54
    POSITIVE LOGITS
    HCR
    0.75
     2019
    0.70
     Madness
    0.70
    γ
    0.70
    pole
    0.66
    PHOTOS
    0.65
    1964
    0.63
    taboola
    0.63
    cedented
    0.63
    actionDate
    0.63
    Activations Density 0.099%

    No Known Activations