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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. 15359
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    INDEX
    Explanations

    adjectives describing intensity or characteristics of fictional worlds or experiences

    oai_token-act-pair · gpt-3.5-turbo

    elements of high-concept fantasy and immersive storytelling

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Chaff
    -0.80
    lihood
    -0.79
     Rasmussen
    -0.71
     Benef
    -0.67
     Ebola
    -0.66
     Employ
    -0.65
     IRS
    -0.64
     Applicant
    -0.63
     weakened
    -0.63
     Means
    -0.63
    POSITIVE LOGITS
    ampunk
    1.29
     genre
    1.16
     genres
    1.08
     cinematic
    1.05
    genre
    1.05
    themed
    0.98
     comic
    0.95
     comedy
    0.95
     sci
    0.91
     comics
    0.90
    Activations Density 0.645%

    No Known Activations