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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. 13336
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    oai_token-act-pair · gpt-3.5-turbo

    structured data or numeric information

    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
     bleed
    -0.63
     frivol
    -0.61
     pessim
    -0.57
     spoilers
    -0.56
     brakes
    -0.56
     silence
    -0.54
     vacuum
    -0.54
     Lyft
    -0.53
     FANTASY
    -0.52
     contag
    -0.52
    POSITIVE LOGITS
    .).
    0.64
     guiActiveUnfocused
    0.63
     Campus
    0.60
    td
    0.60
    ttp
    0.58
    folio
    0.57
    folios
    0.57
     Retrieved
    0.56
    outhern
    0.56
    Northern
    0.56
    Activations Density 0.962%

    No Known Activations