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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. 23847
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    Explanations

    numeric values or percentages mentioned in the document

    oai_token-act-pair · gpt-3.5-turbo

    references to well-known films and notable figures

    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
    utra
    -0.63
    kefeller
    -0.62
    xus
    -0.59
    ioch
    -0.58
    inki
    -0.56
    ufact
    -0.55
     Mehran
    -0.54
    itol
    -0.54
    ̶
    -0.54
    incial
    -0.54
    POSITIVE LOGITS
     coli
    0.71
     Ashes
    0.70
    \<
    0.68
    enment
    0.60
    ĪĴ
    0.58
     Despair
    0.56
     Drain
    0.55
     seams
    0.53
     Cemetery
    0.52
     Hunger
    0.52
    Activations Density 1.047%

    No Known Activations