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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. 8-RES-JB
    11. 2554
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    Explanations

    commands or instructions not to do something

    oai_token-act-pair · gpt-3.5-turbo

    the word "don't" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.68
     pus
    -0.67
     Featured
    -0.61
     afore
    -0.60
    EStream
    -0.59
     Species
    -0.59
    phal
    -0.59
    tnc
    -0.59
     ejected
    -0.59
     DRAGON
    -0.58
    POSITIVE LOGITS
    't
    1.57
    ned
    0.93
    ning
    0.92
    ovan
    0.90
    atives
    0.89
    ÃŃ
    0.88
    ations
    0.87
    ately
    0.87
    uts
    0.86
    orman
    0.86
    Activations Density 0.028%

    No Known Activations