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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. 5816
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    Explanations

    references to numbers and quantities in descriptions of events or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases starting with "about" that indicate quantities or numbers

    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
    Not in Any Lists

    No Comments

    Negative Logits
     conflic
    -0.73
    respective
    -0.67
     destro
    -0.63
     whilst
    -0.62
     recognise
    -0.61
     Whilst
    -0.61
    ================================================================
    -0.58
     unnecess
    -0.58
     tyr
    -0.58
    NEY
    -0.58
    POSITIVE LOGITS
     400
    0.88
     200
    0.86
     900
    0.86
     300
    0.85
     150
    0.85
     $
    0.84
     600
    0.84
     800
    0.82
     dozen
    0.82
     175
    0.82
    Activations Density 0.187%

    No Known Activations