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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. 10-RES-JB
    11. 21354
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    Explanations

    phrases related to pivotal or central components

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating central or foundational concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ograms
    -0.71
    asing
    -0.66
    tim
    -0.66
    oult
    -0.65
    ppings
    -0.63
    ogram
    -0.62
    /-
    -0.61
    books
    -0.60
    keepers
    -0.60
    >:
    -0.60
    POSITIVE LOGITS
     contention
    0.94
     everything
    0.89
     excellence
    0.88
     civilization
    0.84
     civilisation
    0.83
     modern
    0.82
     humankind
    0.81
     liberalism
    0.81
     innovation
    0.79
     mankind
    0.77
    Activations Density 0.215%

    No Known Activations