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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. 19939
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    Explanations

    terms related to scientific or technological advancements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant advancements or discoveries

    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
     serv
    -0.69
     served
    -0.67
    De
    -0.65
     [-
    -0.63
    fill
    -0.62
    ooters
    -0.60
    order
    -0.59
     Morty
    -0.59
     Eater
    -0.58
    per
    -0.58
    POSITIVE LOGITS
     breakthrough
    3.83
     breakout
    2.01
     advancements
    1.46
     groundbreaking
    1.45
     discoveries
    1.29
     advances
    1.28
     milestone
    1.21
     bombshell
    1.20
     successes
    1.13
     miracle
    1.13
    Activations Density 0.015%

    No Known Activations