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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. 6239
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    INDEX
    Explanations

    sentences indicating decisions or resolutions

    oai_token-act-pair · gpt-3.5-turbo

    instances of decision-making or resolutions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Saying
    -0.71
    è¦ļéĨĴ
    -0.65
     confir
    -0.64
    achus
    -0.64
     warnings
    -0.64
     rulings
    -0.63
     predictions
    -0.59
     Explain
    -0.58
     attest
    -0.57
    ilater
    -0.56
    POSITIVE LOGITS
    needs
    0.99
     needed
    0.94
    needed
    0.91
     ought
    0.90
     shouldn
    0.86
    should
    0.85
     NEED
    0.84
     best
    0.82
     need
    0.80
     deserved
    0.80
    Activations Density 0.156%

    No Known Activations