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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. 12-RES-JB
    11. 3397
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    Explanations

    references to scheduled events or activities

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating plans or timelines for future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rity
    -0.52
     Invisible
    -0.51
     Haku
    -0.48
     RESP
    -0.48
     Feeling
    -0.46
     Passion
    -0.46
    izoph
    -0.46
    natureconservancy
    -0.46
     passion
    -0.46
    vine
    -0.45
    POSITIVE LOGITS
     for
    0.83
     to
    0.81
    uled
    0.76
     Parenthood
    0.75
    Tue
    0.66
    DeliveryDate
    0.62
    dule
    0.62
     sometime
    0.62
    for
    0.61
    entious
    0.60
    Activations Density 0.070%

    No Known Activations