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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. 14479
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    Explanations

    verbs indicating significance, impact, or consequence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote implications or meanings

    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
    iliate
    -0.69
    phrine
    -0.67
    oute
    -0.64
    Kings
    -0.64
    genre
    -0.63
    iban
    -0.63
    taboola
    -0.63
    ibble
    -0.63
    aughs
    -0.63
    @#&
    -0.62
    POSITIVE LOGITS
     goodbye
    1.02
     sacrificing
    0.72
     nothing
    0.68
    hift
    0.68
     fewer
    0.66
     something
    0.66
     shovel
    0.64
     spirited
    0.64
     risking
    0.62
     everything
    0.62
    Activations Density 0.038%

    No Known Activations