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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. 1-RES-JB
    6. 14904
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    Explanations

    adjectives describing something useful or convenient

    oai_token-act-pair · gpt-3.5-turbo

    references to helpful tools or features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oral
    -0.75
    verson
    -0.74
    VO
    -0.71
    inction
    -0.71
    ylum
    -0.69
    orous
    -0.67
    alcohol
    -0.67
    onde
    -0.67
    eree
    -0.67
    ophy
    -0.66
    POSITIVE LOGITS
     handy
    1.25
    ãĥ¼ãĥĨ
    0.96
    ãĥķãĤ¡
    0.89
     referen
    0.87
     nifty
    0.79
    å§«
    0.79
     workaround
    0.78
     tricks
    0.77
     helper
    0.77
     redes
    0.77
    Activations Density 0.006%

    No Known Activations