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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. 9-RES-JB
    11. 5987
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    Explanations

    sentences talking about the process of creating something, particularly in terms of filmmaking

    oai_token-act-pair · gpt-3.5-turbo
    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
    yip
    -0.86
    bolt
    -0.79
    Security
    -0.75
    ntil
    -0.74
     alerted
    -0.73
     delegation
    -0.72
     Member
    -0.72
    etooth
    -0.71
    DEN
    -0.70
    claw
    -0.69
    POSITIVE LOGITS
     sequels
    1.52
     genre
    1.48
     movies
    1.44
     cinematic
    1.42
     films
    1.39
     screenplay
    1.36
     storytelling
    1.36
     genres
    1.35
     filmmaking
    1.33
     theatrical
    1.32
    Activations Density 1.231%

    No Known Activations