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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. 4784
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    Explanations

    specific years or time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    specific years or time-related 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
     lately
    -0.67
     valiant
    -0.65
     yesterday
    -0.61
     lifes
    -0.61
     fumble
    -0.60
     recently
    -0.58
    edIn
    -0.58
     kins
    -0.57
     hated
    -0.57
    ggles
    -0.55
    POSITIVE LOGITS
    2019
    0.95
    morrow
    0.94
     2019
    0.92
     2021
    0.86
     unless
    0.85
    depending
    0.85
    assuming
    0.83
     depending
    0.82
     hopefully
    0.79
    ãĥ¯
    0.78
    Activations Density 0.170%

    No Known Activations