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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. 3-RES-JB
    11. 13063
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    Explanations

    informal social media or internet content

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    wagen
    -0.85
     challeng
    -0.79
     outsider
    -0.70
     pse
    -0.67
     manif
    -0.67
     behavi
    -0.67
     corrid
    -0.66
     glim
    -0.66
    ornia
    -0.65
     horizont
    -0.65
    POSITIVE LOGITS
     Flavoring
    0.81
     Serving
    0.71
     Accessed
    0.70
     Learns
    0.70
     Retrieved
    0.70
     Expand
    0.69
    jpg
    0.66
     Unloaded
    0.65
    com
    0.65
     Includes
    0.65
    Activations Density 0.177%

    No Known Activations