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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13069
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    Explanations

    the dates in historical contexts

    oai_token-act-pair · gpt-3.5-turbo

    historical dates and events

    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
    entimes
    -0.92
     antioxid
    -0.81
    ahu
    -0.77
     chew
    -0.73
    Thumbnail
    -0.70
    ottesville
    -0.69
    actions
    -0.65
    (-
    -0.65
    parency
    -0.64
    edge
    -0.62
    POSITIVE LOGITS
     onwards
    0.80
     Carlos
    0.80
     inval
    0.71
    ixties
    0.70
    when
    0.70
     Bec
    0.68
    schild
    0.68
    ruary
    0.66
    PsyNetMessage
    0.66
     Klaus
    0.66
    Activations Density 0.259%

    No Known Activations