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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. 2-RES-JB
    11. 5312
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    Explanations

    comparisons related to difficulty or complexity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating increasing difficulty or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reen
    -0.72
    EVA
    -0.67
    inate
    -0.67
     Expend
    -0.67
    Saint
    -0.66
    abet
    -0.65
    rolley
    -0.65
    Liber
    -0.62
     Charity
    -0.62
    Victoria
    -0.62
    POSITIVE LOGITS
     than
    1.02
     harder
    0.94
     behaved
    0.83
     resil
    0.80
     Than
    0.80
     proble
    0.80
     destro
    0.75
     compr
    0.74
     toget
    0.74
     tiss
    0.74
    Activations Density 0.006%

    No Known Activations