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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. 0-RES-JB
    11. 16920
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    Explanations

    numerals specifically the number 2

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mechdragon
    -0.65
     earnest
    -0.62
     bells
    -0.60
     afore
    -0.59
     celebration
    -0.58
     bang
    -0.58
     reck
    -0.58
     acclaim
    -0.57
     practically
    -0.57
     tarn
    -0.56
    POSITIVE LOGITS
    2
    3.08
    3
    2.51
    1
    2.33
    4
    2.32
    5
    2.08
    6
    1.97
    7
    1.86
    8
    1.82
    0
    1.82
    9
    1.77
    Activations Density 0.048%

    No Known Activations