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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. 17892
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    Explanations

    years mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    specific years and dates

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ousel
    -0.66
    elong
    -0.65
    ardless
    -0.65
     genus
    -0.64
    worldly
    -0.62
    riet
    -0.62
    amins
    -0.61
    onge
    -0.60
    imated
    -0.60
    agy
    -0.59
    POSITIVE LOGITS
     onwards
    0.90
     partName
    0.81
    âĸĪâĸĪ
    0.70
     Kass
    0.69
     sidx
    0.66
     GMT
    0.65
    20439
    0.65
    chev
    0.65
     onward
    0.64
    âĸĪ
    0.63
    Activations Density 0.080%

    No Known Activations