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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. 8-RES-JB
    11. 11152
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    Explanations

    references to the provision or gathering of information from various sources

    oai_token-act-pair · gpt-3.5-turbo

    references to information gathering and data collection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶģ
    -0.76
     Episcopal
    -0.75
    Ta
    -0.74
    quit
    -0.72
    Interstitial
    -0.70
     Zed
    -0.64
    Standing
    -0.63
     reunion
    -0.63
     condem
    -0.62
    Laughs
    -0.61
    POSITIVE LOGITS
     analytics
    1.03
     Analytics
    0.87
     glean
    0.86
     collected
    0.83
     dossier
    0.81
    processing
    0.81
    enhagen
    0.81
    nsics
    0.79
    arial
    0.78
    alyses
    0.78
    Activations Density 0.520%

    No Known Activations