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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. 9-RES-JB
    6. 15253
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    Explanations

    proper nouns or titles denoting significant entities, such as "Great", "Holy", "Big", and "Final"

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical or cultural entities, often denoted by the word "Great" or other related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    terday
    -0.88
    inventoryQuantity
    -0.88
    Downloadha
    -0.70
    omever
    -0.70
     diligence
    -0.70
     haste
    -0.68
    upon
    -0.68
    etheless
    -0.68
    theless
    -0.68
    itably
    -0.67
    POSITIVE LOGITS
     Era
    1.17
     Ones
    1.15
     Line
    1.12
     Continent
    1.11
     Ring
    1.10
     Shirt
    1.08
     Library
    1.07
     Programme
    1.07
     Museum
    1.05
     Chamber
    1.04
    Activations Density 0.192%

    No Known Activations