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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. 11-RES-JB
    11. 2772
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    Explanations

    profanity and vulgar language

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "shit" in various contexts

    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
     Flavoring
    -0.75
     obser
    -0.65
    PsyNetMessage
    -0.65
    NetMessage
    -0.62
    Ctrl
    -0.62
    ================================
    -0.59
    tnc
    -0.58
     investig
    -0.57
    fman
    -0.56
     Blanc
    -0.56
    POSITIVE LOGITS
    loads
    1.34
    storm
    1.24
    bags
    1.19
    holes
    1.18
    lords
    1.17
    faced
    1.16
    load
    1.15
    hole
    1.13
    bag
    1.11
    lord
    1.08
    Activations Density 0.091%

    No Known Activations