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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. 11-RES-JB
    11. 5416
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to testing and assessment outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.63
    %;
    -0.61
     };
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    ;
    -0.56
    %.
    -0.54
    pta
    -0.52
    scribed
    -0.52
    hire
    -0.52
    nor
    -0.51
    };
    -0.50
    POSITIVE LOGITS
     again
    1.13
     anew
    1.07
     extensively
    0.97
     differently
    0.96
    again
    0.95
     sooner
    0.93
     harder
    0.89
     squarely
    0.86
     directly
    0.80
     firsthand
    0.80
    Activations Density 0.865%

    No Known Activations