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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. 9-RES-JB
    11. 19395
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    Explanations

    words related to bitterness or negative emotions

    oai_token-act-pair · gpt-3.5-turbo

    instances and variations of the word "bitter" and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.93
    nesota
    -0.82
    amera
    -0.81
    alian
    -0.77
    agy
    -0.77
    Safe
    -0.75
    rity
    -0.75
    uters
    -0.74
    001
    -0.74
    UTE
    -0.74
    POSITIVE LOGITS
     rivalry
    1.02
     battles
    0.92
     parting
    0.91
     battle
    0.88
     feud
    0.88
     spar
    0.87
     rival
    0.87
     disputes
    0.85
    ly
    0.85
     disagreement
    0.84
    Activations Density 0.096%

    No Known Activations