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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. 1-RES-JB
    11. 20816
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    INDEX
    Explanations

    comparisons indicating increased difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulty or challenges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reen
    -0.68
     Lights
    -0.67
     Expend
    -0.67
    arel
    -0.67
     Loft
    -0.67
    EVA
    -0.66
     Telegraph
    -0.66
     Channel
    -0.66
    Liber
    -0.65
    inate
    -0.65
    POSITIVE LOGITS
     harder
    1.05
     resil
    0.95
     proble
    0.92
     toget
    0.92
     than
    0.91
     destro
    0.90
     challeng
    0.83
     forgiving
    0.80
     compr
    0.78
    nces
    0.78
    Activations Density 0.005%

    No Known Activations