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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. 2212
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    Explanations

    terms related to science and technical concepts specifically mentioning specific body parts like cervical vertebrae

    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to scientific and technical contexts

    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
     Canaver
    -0.72
     Beware
    -0.58
     patience
    -0.58
     Baal
    -0.58
    CVE
    -0.52
    staking
    -0.51
     Uriel
    -0.50
     vain
    -0.48
    lain
    -0.48
     Rescue
    -0.48
    POSITIVE LOGITS
    iciary
    0.63
    anche
    0.59
    20439
    0.57
    sylv
    0.57
    plet
    0.56
    cill
    0.56
    umb
    0.55
     nodd
    0.54
     cycle
    0.54
    iator
    0.54
    Activations Density 0.814%

    No Known Activations