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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. 6-RES-JB
    11. 7343
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    oai_token-act-pair · gpt-3.5-turbo

    symbols and formatting related to citations and references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wagen
    -0.58
     unprotected
    -0.58
     secretaries
    -0.54
    userc
    -0.51
     utilities
    -0.50
     guarding
    -0.49
     fashioned
    -0.48
     boosters
    -0.48
     undermin
    -0.48
     composing
    -0.48
    POSITIVE LOGITS
     EDIT
    0.61
    talk
    0.60
     06
    0.59
     UNCLASSIFIED
    0.57
     08
    0.57
     CONTIN
    0.55
     Quote
    0.55
     Written
    0.55
     00
    0.54
     ESV
    0.54
    Activations Density 0.654%

    No Known Activations