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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. 16872
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    Explanations

    dimensions and measurements in metric units

    oai_token-act-pair · gpt-3.5-turbo

    dimensions and measurements related to physical objects

    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
    liest
    -0.77
     Vi
    -0.67
    bid
    -0.66
    vik
    -0.64
     Buckley
    -0.63
     waivers
    -0.63
    nery
    -0.63
     Portug
    -0.63
    atu
    -0.62
    lier
    -0.62
    POSITIVE LOGITS
     cm
    0.90
    px
    0.88
    cm
    0.88
     pixels
    0.86
    â̳
    0.84
     centimeters
    0.83
     inches
    0.79
     inch
    0.79
     horizontally
    0.77
    mm
    0.77
    Activations Density 0.062%

    No Known Activations