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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. 8297
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    INDEX
    Explanations

    mentions of "all" occurring at very high or high activation levels

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "all."

    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
    •All the Features!

    No Comments

    Negative Logits
    SHIP
    -0.73
    heet
    -0.65
    culosis
    -0.65
    bal
    -0.64
    ichen
    -0.64
     Flavoring
    -0.64
    atur
    -0.63
    hz
    -0.63
    edin
    -0.63
    mma
    -0.63
    POSITIVE LOGITS
    uding
    1.21
    ocating
    1.08
    owing
    1.04
    iances
    1.01
    igators
    1.00
    usions
    1.00
     kinds
    0.97
     sorts
    0.95
    ocated
    0.90
    usion
    0.89
    Activations Density 0.057%

    No Known Activations