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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. 10-RES-JB
    11. 5651
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating observations or assessments about situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    SPONSORED
    -0.86
    è»
    -0.75
    pent
    -0.64
    è¦ļéĨĴ
    -0.63
    perty
    -0.63
    âĢ
    -0.62
    âĢķ
    -0.60
    isively
    -0.60
    rolet
    -0.59
    eers
    -0.58
    POSITIVE LOGITS
     gotta
    0.90
     ya
    0.86
     gonna
    0.84
     kidding
    0.76
     legit
    0.74
     Called
    0.73
     brill
    0.72
     Worth
    0.71
    ï¸ı
    0.70
     huh
    0.70
    Activations Density 0.139%

    No Known Activations