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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. 3760
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    Explanations

    specific years

    oai_token-act-pair · gpt-3.5-turbo

    specific years and related numerical data within the text

    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
    arah
    -0.70
    ãĤ¨ãĥ«
    -0.70
    ctor
    -0.67
    ////////////////
    -0.66
    alogy
    -0.65
    ById
    -0.64
    Done
    -0.64
    ////////
    -0.63
    SourceFile
    -0.63
    ãĤ¦ãĤ¹
    -0.63
    POSITIVE LOGITS
     when
    1.05
    when
    0.97
     however
    0.92
     according
    0.84
     shortly
    0.84
     while
    0.82
     amid
    0.81
     Newsweek
    0.80
     Forbes
    0.78
     after
    0.78
    Activations Density 0.186%

    No Known Activations