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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. 1254
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    INDEX
    Explanations

    sharp objects or instances described as sharp

    oai_token-act-pair · gpt-3.5-turbo

    references to sharp objects or sharpness in general

    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
    mits
    -0.79
    pty
    -0.79
    ople
    -0.74
    rella
    -0.72
    ORED
    -0.70
    ccess
    -0.70
    BLE
    -0.69
    mitting
    -0.69
    uthor
    -0.66
    avis
    -0.66
    POSITIVE LOGITS
    ened
    1.07
     sharp
    1.03
    ening
    0.95
     sharper
    0.87
    ness
    0.85
    sharp
    0.82
     blade
    0.81
     distinction
    0.80
    ener
    0.76
     spikes
    0.76
    Activations Density 0.009%

    No Known Activations