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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. 12-RES-JB
    11. 5063
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    Explanations

    URL links to pictures

    oai_token-act-pair · gpt-3.5-turbo
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    elements related to file names or versioning in a digital context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     incidentally
    -0.80
     loophole
    -0.77
     ÂŃ
    -0.72
     afore
    -0.71
     stake
    -0.70
     pronoun
    -0.70
     Antar
    -0.70
     instit
    -0.69
     bypass
    -0.69
     meanwhile
    -0.68
    POSITIVE LOGITS
    jpg
    1.34
    tnc
    1.29
    cdn
    1.27
    images
    1.22
    thumbnails
    1.22
    1024
    1.22
    _-
    1.20
    img
    1.20
    uploads
    1.18
    upload
    1.16
    Activations Density 0.132%

    No Known Activations