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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. 22983
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    Explanations

    phrases indicating preference for a simpler or more direct approach

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "just."

    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
     challeng
    -0.72
     Palestin
    -0.67
    bestos
    -0.62
     PLUS
    -0.62
    antage
    -0.62
     protector
    -0.62
     Remastered
    -0.61
    ikuman
    -0.61
     adversary
    -0.61
    luster
    -0.60
    POSITIVE LOGITS
    ifiable
    1.15
    ifications
    1.06
    if
    0.98
    ifi
    0.95
    ified
    0.82
    ify
    0.82
    itia
    0.80
    IFIC
    0.79
    ifiers
    0.78
    icia
    0.78
    Activations Density 0.095%

    No Known Activations