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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. 1613
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    Explanations

    the name "Chip" mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Chip" in various contexts

    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
     exha
    -0.80
    etheless
    -0.74
    ngth
    -0.73
    æĢ
    -0.70
    Į
    -0.67
     extremes
    -0.66
     ende
    -0.65
     nitrogen
    -0.65
     COUR
    -0.64
     metab
    -0.64
    POSITIVE LOGITS
    otle
    1.67
     Chip
    0.98
    anut
    0.96
    shots
    0.91
    ilage
    0.89
    artisan
    0.89
    mun
    0.84
    unia
    0.82
    ambers
    0.80
    ards
    0.78
    Activations Density 0.011%

    No Known Activations