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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. 12-RES-JB
    11. 3657
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    Explanations

    phrases related to scale, complexity, and the bigger picture

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to larger or broader concepts and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    orneys
    -0.93
    visor
    -0.72
    çļ
    -0.72
    ciating
    -0.71
    pleting
    -0.71
    killed
    -0.71
    reditary
    -0.71
    unte
    -0.70
    meric
    -0.70
    ���
    -0.69
    POSITIVE LOGITS
     picture
    1.18
     than
    1.09
     context
    0.99
     scope
    0.91
     implications
    0.86
     societal
    0.86
     scale
    0.86
     ramifications
    0.83
     canvas
    0.80
     Than
    0.80
    Activations Density 0.105%

    No Known Activations