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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. 5-RES-JB
    6. 15759
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    Explanations

    phrases indicating the passage of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the passage of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     MIS
    -0.61
    chest
    -0.61
     Nass
    -0.60
    Atlantic
    -0.59
     Collector
    -0.58
     Mog
    -0.57
    boa
    -0.56
    gencies
    -0.56
    ippi
    -0.55
    Tar
    -0.55
    POSITIVE LOGITS
    adays
    1.13
    abouts
    0.98
    here
    0.97
    iatus
    0.81
    tics
    0.76
    heres
    0.74
    lease
    0.73
     devoted
    0.72
     compr
    0.72
     defunct
    0.68
    Activations Density 0.040%

    No Known Activations