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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 16222
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    Explanations

    phrases related to consequences and impacts of actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative consequences or outcomes

    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
    DragonMagazine
    -0.81
    nect
    -0.77
    ĸļ
    -0.75
    thank
    -0.74
    ledged
    -0.73
    uben
    -0.73
    ernaut
    -0.73
     Pry
    -0.70
    uve
    -0.70
    assad
    -0.69
    POSITIVE LOGITS
     misunderstand
    1.50
     resentment
    1.34
     mistrust
    1.34
     distrust
    1.28
     confusion
    1.27
     cynicism
    1.25
     counterproductive
    1.25
     unnecessary
    1.24
     misunderstanding
    1.23
     unintended
    1.22
    Activations Density 0.339%

    No Known Activations