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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. 19547
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    legal case citations

    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
    bsite
    -0.71
    ptoms
    -0.68
     cleaner
    -0.63
     liner
    -0.63
    accessible
    -0.62
     ingredients
    -0.62
     ingredient
    -0.61
    colour
    -0.61
    phia
    -0.60
    cheat
    -0.58
    POSITIVE LOGITS
    arsity
    0.83
    isions
    0.82
    iii
    0.78
    iking
    0.77
    Sphere
    0.74
    ented
    0.74
    iper
    0.73
    igg
    0.73
    incent
    0.73
    iably
    0.72
    Activations Density 0.015%

    No Known Activations