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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. 3035
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    Explanations

    phrases related to social responsibility and accountability

    oai_token-act-pair · gpt-3.5-turbo

    sentences that express key conclusions or statements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ruin
    -0.86
     desper
    -0.85
     pretended
    -0.82
    yip
    -0.81
     horrend
    -0.80
     pse
    -0.80
     undermin
    -0.79
     slightest
    -0.78
     ugly
    -0.78
     sucker
    -0.77
    POSITIVE LOGITS
     Additionally
    1.48
     Through
    1.44
     Together
    1.32
     Currently
    1.26
     Accordingly
    1.25
    Through
    1.25
     Specifically
    1.19
     Throughout
    1.19
     Beginning
    1.18
     Learn
    1.18
    Activations Density 0.362%

    No Known Activations