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    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. 19741
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    Explanations

    the exact word "word" occurring in the text

    oai_token-act-pair · gpt-3.5-turbo

    multiple instances of the term "word" in various contexts

    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
    psey
    -0.95
    etheus
    -0.74
    opausal
    -0.73
    orsche
    -0.73
    âĹ¼
    -0.70
    ithing
    -0.70
    aples
    -0.70
    roxy
    -0.69
    ruciating
    -0.69
    ervation
    -0.67
    POSITIVE LOGITS
     word
    1.03
    sworth
    0.97
    press
    0.97
    naire
    0.89
    Word
    0.88
     Word
    0.87
    word
    0.75
    lore
    0.74
    mith
    0.73
     aloud
    0.73
    Activations Density 0.012%

    No Known Activations