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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. 3-RES-JB
    11. 6299
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    INDEX
    Explanations

    references to climax or endings, especially in the context of TV shows or movies

    oai_token-act-pair · gpt-3.5-turbo

    references to television series finales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olds
    -0.79
    urg
    -0.79
    var
    -0.78
    tics
    -0.78
    lying
    -0.77
    holding
    -0.75
    gun
    -0.75
    hist
    -0.74
    old
    -0.73
    ju
    -0.73
    POSITIVE LOGITS
     finale
    1.09
    adelphia
    0.89
     [|
    0.84
     prematurely
    0.83
     reel
    0.81
     airs
    0.80
     adolesc
    0.79
     showdown
    0.79
     spoiler
    0.78
     countdown
    0.77
    Activations Density 0.013%

    No Known Activations