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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. 6-RES-JB
    11. 14728
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    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "you" emphasizing direct address or engagement with the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stadt
    -0.69
     Hyde
    -0.65
    former
    -0.64
    grave
    -0.62
     Quarterly
    -0.61
    kamp
    -0.61
    hover
    -0.60
     Verge
    -0.60
    acca
    -0.60
    iday
    -0.58
    POSITIVE LOGITS
    're
    1.40
     guys
    1.35
    've
    1.17
     gotta
    1.08
    'll
    0.96
    tub
    0.96
     guessed
    0.94
     realize
    0.89
    ngth
    0.88
    'd
    0.87
    Activations Density 0.202%

    No Known Activations