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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. 8-RES-JB
    11. 4038
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    INDEX
    Explanations

    sentences or phrases that introduce important topics or details

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation, primarily periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cipled
    -0.85
     affili
    -0.74
     workspace
    -0.67
     strugg
    -0.65
     cabbage
    -0.64
     imperson
    -0.61
     gust
    -0.61
     warr
    -0.61
     pearl
    -0.60
     promot
    -0.60
    POSITIVE LOGITS
     Whilst
    1.21
     Specifically
    1.20
     Whereas
    1.19
     Normally
    1.16
     Essentially
    1.11
     While
    1.11
     Again
    1.10
     Thankfully
    1.10
     Initially
    1.08
     Luckily
    1.08
    Activations Density 0.611%

    No Known Activations