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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. 4-RES-JB
    11. 1442
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    Explanations

    words related to a significant positive impact or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a high degree of benefit or appreciation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    smoking
    -0.77
    cius
    -0.72
     Tags
    -0.70
     Notting
    -0.67
    yne
    -0.67
    arians
    -0.66
    tein
    -0.66
    Fram
    -0.66
    nar
    -0.65
    cair
    -0.64
    POSITIVE LOGITS
     benefited
    0.95
     appreciated
    0.94
     appreci
    0.83
     amounts
    0.81
     benef
    0.78
     appre
    0.78
    Increases
    0.75
     misunderstand
    0.74
     appreciate
    0.73
     exceeding
    0.73
    Activations Density 0.012%

    No Known Activations