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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. 4-RES-JB
    11. 2137
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    Explanations

    strong profanities/questioning phrases with an intense tone

    oai_token-act-pair · gpt-3.5-turbo

    strong expressions of frustration or disbelief

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

    No Comments

    Negative Logits
    士
    -0.81
    NetMessage
    -0.69
    iku
    -0.68
    vic
    -0.67
    jri
    -0.66
    Vert
    -0.66
    Motion
    -0.65
    cit
    -0.64
    PsyNetMessage
    -0.61
     recip
    -0.61
    POSITIVE LOGITS
     heck
    0.80
     hell
    0.78
     HELL
    0.75
    holes
    0.75
    fuck
    0.75
     fuck
    0.75
    berra
    0.74
    otaur
    0.70
     FUCK
    0.69
    hole
    0.69
    Activations Density 0.018%

    No Known Activations