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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. 7-RES-JB
    6. 6348
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    Explanations

    specific locations or names of places, potentially related to geographical areas

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otype
    -0.82
     Kubrick
    -0.73
    20439
    -0.73
    venants
    -0.69
    otypes
    -0.68
    quez
    -0.66
    icles
    -0.64
     proc
    -0.63
    ctic
    -0.63
    helle
    -0.63
    POSITIVE LOGITS
    lash
    0.82
    wash
    0.78
    fing
    0.77
    roots
    0.76
     Pwr
    0.76
    ande
    0.75
    lance
    0.75
    flies
    0.73
    trak
    0.72
    endish
    0.72
    Activations Density 0.069%

    No Known Activations