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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. 13532
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    Explanations

    words related to impactful actions or events

    oai_token-act-pair · gpt-3.5-turbo

    significant plot elements or themes related to games and storytelling

    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
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    No Comments

    Negative Logits
    eni
    -0.60
    ÄŁ
    -0.59
    DOS
    -0.57
    ancies
    -0.56
     fortnight
    -0.55
     Cust
    -0.55
    ELD
    -0.54
     KR
    -0.51
    pes
    -0.51
    xtap
    -0.50
    POSITIVE LOGITS
    that
    1.60
     that
    1.46
     That
    1.41
    That
    1.40
     THAT
    1.38
     thats
    1.08
    Those
    0.83
     Those
    0.80
    those
    0.76
     those
    0.74
    Activations Density 0.225%

    No Known Activations