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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. 21644
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    Explanations

    personal pronouns (such as 'you', 'me', 'him', 'us', 'them') interacting with verbs

    oai_token-act-pair · gpt-3.5-turbo

    pronouns referring to people

    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
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    No Comments

    Negative Logits
    dict
    -0.64
    ciating
    -0.62
    vine
    -0.61
     ESV
    -0.60
    dm
    -0.60
    raints
    -0.57
    éŃĶ
    -0.57
    ŃĶ
    -0.56
    âĨij
    -0.56
    ¿½
    -0.56
    POSITIVE LOGITS
     loose
    0.97
     up
    0.95
     down
    0.92
     awake
    0.89
     alive
    0.87
     out
    0.86
     accountable
    0.85
    selves
    0.84
     awa
    0.83
     asleep
    0.81
    Activations Density 0.133%

    No Known Activations