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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    instances of the word "lose"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lose."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ans
    -0.65
     Contemporary
    -0.65
     Ord
    -0.64
     Spec
    -0.63
     AMA
    -0.62
    ric
    -0.60
     Protector
    -0.59
     Emin
    -0.58
     Peace
    -0.58
    Spec
    -0.57
    POSITIVE LOGITS
     lose
    3.33
     Lose
    2.34
     loses
    2.20
     losing
    2.01
     lost
    1.79
     loss
    1.64
    lost
    1.59
     losses
    1.58
     forfeit
    1.56
     Loss
    1.48
    Activations Density 0.013%

    No Known Activations