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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 4504
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    INDEX
    Explanations

    words related to documentaries or documentary filmmaking

    oai_token-act-pair · gpt-3.5-turbo

    references to documentaries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.99
    hare
    -0.75
    metics
    -0.70
    ername
    -0.70
    aples
    -0.70
    MpServer
    -0.70
    inventoryQuantity
    -0.69
    agall
    -0.68
    pron
    -0.67
    unin
    -0.66
    POSITIVE LOGITS
     filmmaker
    1.40
     film
    1.29
     filmmakers
    1.27
     documentary
    1.23
     filmmaking
    1.17
     films
    1.13
     aired
    1.09
     documentaries
    1.07
     filmed
    1.07
    film
    1.06
    Activations Density 0.070%

    No Known Activations