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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. 24143
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    Explanations

    references to quantities of two or three items

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities and numerical values in relation to groups or entities

    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
    matter
    -0.90
     Akin
    -0.69
    kell
    -0.67
    Gene
    -0.64
    ovie
    -0.64
    leigh
    -0.61
    both
    -0.60
    zee
    -0.60
    form
    -0.59
     Typ
    -0.58
    POSITIVE LOGITS
     dozen
    0.70
     hundred
    0.65
     quir
    0.64
    pires
    0.62
     favorites
    0.62
    ected
    0.61
     factors
    0.61
    IFIC
    0.60
     hemisphere
    0.60
    onnaissance
    0.60
    Activations Density 0.085%

    No Known Activations