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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. 12261
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    INDEX
    Explanations

    phrases related to large quantities or numbers

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases emphasizing quantity or abundance

    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
     Advocate
    -0.72
     Channel
    -0.57
    arthed
    -0.56
     Nich
    -0.56
     BuzzFeed
    -0.56
    Adv
    -0.55
     Sinn
    -0.53
     Excellence
    -0.52
    estamp
    -0.52
    SPONSORED
    -0.52
    POSITIVE LOGITS
    tery
    1.05
    ion
    0.94
    ortment
    0.90
    ions
    0.87
    ums
    0.87
    hee
    0.85
     of
    0.81
    umen
    0.81
    us
    0.80
    uma
    0.79
    Activations Density 0.054%

    No Known Activations