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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. 17842
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    Explanations

    terms related to expertise, particularly in a specific field or hobby

    oai_token-act-pair · gpt-3.5-turbo

    suffixes related to adjectives and nouns, particularly focusing on the themes of identity and categorization

    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
    melon
    -0.76
    gression
    -0.75
    stable
    -0.70
    agan
    -0.66
    jack
    -0.65
    powers
    -0.65
    mits
    -0.64
     gestation
    -0.64
     ILCS
    -0.62
    ãģĨ
    -0.62
    POSITIVE LOGITS
    naire
    0.81
    ures
    0.76
    antes
    0.75
    alist
    0.73
     Bonds
    0.72
     Garc
    0.72
    eral
    0.71
    ielding
    0.69
    redo
    0.69
    arette
    0.69
    Activations Density 0.026%

    No Known Activations