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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. 3-RES-JB
    11. 202
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    Explanations

    words related to strong negative reactions or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger or strong discontent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.68
     Sacrifice
    -0.68
     surgeries
    -0.67
     Spaces
    -0.66
     accommodations
    -0.65
     Staten
    -0.65
     Piano
    -0.63
    tein
    -0.63
    uration
    -0.63
     beds
    -0.62
    POSITIVE LOGITS
     ire
    0.98
     wrath
    0.87
    fulness
    0.83
    ãĥķãĤ¡
    0.79
    terness
    0.78
    hound
    0.76
    dog
    0.76
    bell
    0.75
    PLA
    0.74
    nery
    0.74
    Activations Density 0.023%

    No Known Activations