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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. 7-RES-JB
    11. 3976
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    Explanations

    phrases related to various individual or collective efforts

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of collective efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dealer
    -0.68
    osate
    -0.67
     Kou
    -0.67
     Wrap
    -0.63
     passages
    -0.63
     Chop
    -0.61
     Passage
    -0.61
    oslov
    -0.60
    thur
    -0.60
    \\\\\\\\
    -0.60
    POSITIVE LOGITS
     effort
    0.99
     efforts
    0.98
     underway
    0.91
     toward
    0.85
     undertaken
    0.85
    mable
    0.84
    ments
    0.83
     spearheaded
    0.80
     aimed
    0.79
     expended
    0.78
    Activations Density 0.045%

    No Known Activations