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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. 7-RES-JB
    11. 9427
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    Explanations

    references to entertainment industry entities such as movies, film festivals, and television shows

    oai_token-act-pair · gpt-3.5-turbo

    references to films and the film industry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ursed
    -0.80
    rique
    -0.75
    etheless
    -0.69
    orget
    -0.68
     spacing
    -0.67
    riction
    -0.66
    ptoms
    -0.66
    ensional
    -0.66
    acia
    -0.65
    aining
    -0.64
    POSITIVE LOGITS
     portraying
    0.97
     depicting
    0.96
     films
    0.92
     portray
    0.88
     movie
    0.88
     portrays
    0.88
     movies
    0.86
     filmed
    0.85
     DVDs
    0.85
     depicts
    0.85
    Activations Density 0.337%

    No Known Activations