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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. 11-RES-JB
    11. 13499
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    Explanations

    internet-style formatted writing

    oai_token-act-pair · gpt-3.5-turbo

    instances of social media engagement or interaction prompts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bage
    -0.74
    gow
    -0.68
    aida
    -0.67
    cffffcc
    -0.66
    phia
    -0.66
    atown
    -0.63
    issance
    -0.61
    igans
    -0.61
     subpoen
    -0.60
    emet
    -0.59
    POSITIVE LOGITS
    iked
    0.76
    Related
    0.71
    iframe
    0.68
     liked
    0.68
     disliked
    0.67
     guiActive
    0.65
    iking
    0.62
    Rate
    0.62
     Hate
    0.62
     Like
    0.62
    Activations Density 0.058%

    No Known Activations