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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. 18702
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    Explanations

    numerical sequences within text

    oai_token-act-pair · gpt-3.5-turbo

    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 @ 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
     newsp
    -0.80
    undai
    -0.71
     proble
    -0.70
     arming
    -0.69
     administr
    -0.68
    lied
    -0.66
     disadvant
    -0.66
     pse
    -0.65
     discipl
    -0.65
     satur
    -0.64
    POSITIVE LOGITS
     SHARES
    1.36
     ILCS
    1.35
     Shares
    1.19
    508
    1.03
    807
    1.02
     Pages
    1.02
     Views
    1.01
    808
    1.00
    806
    1.00
     Posts
    0.97
    Activations Density 0.083%

    No Known Activations