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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. 10-RES-JB
    6. 2153
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    Explanations

    terms related to experiments and research

    oai_token-act-pair · gpt-3.5-turbo

    mentions of experiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    headers
    -0.66
     grievances
    -0.63
    cut
    -0.61
    doms
    -0.60
    clinton
    -0.60
    roots
    -0.59
    ĺħ
    -0.59
    BuyableInstoreAndOnline
    -0.58
    othy
    -0.58
    entity
    -0.57
    POSITIVE LOGITS
    ally
    1.15
    imental
    1.05
    iments
    0.99
    ationally
    0.90
     experiment
    0.90
     Experiment
    0.88
    ary
    0.84
    Exper
    0.83
    ations
    0.83
    ivity
    0.82
    Activations Density 0.042%

    No Known Activations