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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. 7-RES-JB
    6. 23557
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    oai_token-act-pair · gpt-3.5-turbo

    time indicators and time-related data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    issance
    -0.61
     beneficiaries
    -0.56
    olis
    -0.56
     graz
    -0.56
    OWS
    -0.55
     totaling
    -0.55
     nonetheless
    -0.55
     acknowled
    -0.54
     tens
    -0.54
     endangered
    -0.54
    POSITIVE LOGITS
    Downloadha
    0.70
     EDT
    0.67
    cold
    0.67
    2200
    0.66
     EST
    0.65
    meter
    0.65
     PDT
    0.65
    rush
    0.64
     PST
    0.64
    mun
    0.64
    Activations Density 0.041%

    No Known Activations