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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. 806
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    Explanations

    phrases involving completion or conclusion

    oai_token-act-pair · gpt-3.5-turbo

    repetitive conjunctions, particularly "and" and "or," indicating a focus on connecting ideas or lists

    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
    iard
    -0.73
    Lago
    -0.70
     Parenthood
    -0.70
    Veter
    -0.69
     Cruiser
    -0.69
    nc
    -0.69
    >>>>
    -0.68
    quished
    -0.66
    lov
    -0.65
    ieval
    -0.64
    POSITIVE LOGITS
     deed
    1.38
     deeds
    1.32
     prayers
    1.12
     actions
    1.09
     phrases
    1.03
     gestures
    0.99
     gesture
    0.97
     feelings
    0.96
     action
    0.91
     slogans
    0.91
    Activations Density 0.211%

    No Known Activations