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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. 21836
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    Explanations

    terms related to numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to evidence and statistics

    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
    atal
    -0.62
    Enabled
    -0.62
    sis
    -0.60
    Same
    -0.59
    ocre
    -0.58
    aturation
    -0.58
    ixties
    -0.58
    Correct
    -0.57
    acies
    -0.56
    prev
    -0.56
    POSITIVE LOGITS
     downright
    0.78
     geopolitical
    0.68
    lihood
    0.68
     overall
    0.67
     oneself
    0.66
     importantly
    0.65
     humanitarian
    0.64
     philanthrop
    0.64
     ethical
    0.63
     environmentally
    0.61
    Activations Density 0.836%

    No Known Activations