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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. 2-RES-JB
    6. 16766
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    INDEX
    Explanations

    film or production companies

    oai_token-act-pair · gpt-3.5-turbo

    references to production companies in the film and entertainment industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imb
    -0.85
    onne
    -0.64
    onian
    -0.61
    ought
    -0.61
    attled
    -0.60
    mere
    -0.60
    ading
    -0.60
    utherford
    -0.59
    hist
    -0.59
    fully
    -0.59
    POSITIVE LOGITS
     Productions
    1.01
     productions
    0.96
    rodu
    0.88
    Hunt
    0.87
     Studios
    0.84
     Studio
    0.79
     Films
    0.76
    Produ
    0.75
     Presents
    0.74
     Tiff
    0.71
    Activations Density 0.025%

    No Known Activations