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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. 7110
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    Explanations

    words related to the concept of 'petit' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    words related to pets or animals

    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
     mode
    -0.62
     metic
    -0.58
     Arrows
    -0.58
     NEC
    -0.57
     alternate
    -0.57
    rency
    -0.57
     STATS
    -0.56
     Bangladesh
    -0.56
     disciplines
    -0.55
     modes
    -0.55
    POSITIVE LOGITS
    sels
    0.89
    angelo
    0.86
    achus
    0.85
    isi
    0.83
    asus
    0.78
    oshenko
    0.77
    culosis
    0.72
    istine
    0.71
    dinand
    0.70
    anamo
    0.69
    Activations Density 0.149%

    No Known Activations