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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. 0-RES-JB
    11. 4174
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    Explanations

    phrases related to writing articles or books

    oai_token-act-pair · gpt-3.5-turbo

    references to actions of writing or creating literature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GST
    -0.75
     prelim
    -0.68
    benefit
    -0.67
    rontal
    -0.65
    uctions
    -0.64
     Prism
    -0.63
    finder
    -0.63
     Secret
    -0.63
     transparent
    -0.63
    iliary
    -0.61
    POSITIVE LOGITS
     penned
    3.36
     authored
    1.92
     uttered
    1.41
     coined
    1.32
     pens
    1.26
    authored
    1.24
     spearheaded
    1.22
    aretz
    1.13
     scrib
    1.10
     crammed
    1.10
    Activations Density 0.050%

    No Known Activations