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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. 3618
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    Explanations

    words related to personal qualities or states, such as 'smart', 'empowered', 'popular', 'lucky', 'angry', 'tired', 'real', 'fighter', 'loved', 'capable', 'passionate', 'truthful', 'important', 'future',

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal empowerment and societal issues or identities

    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
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    Negative Logits
    arthed
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    artney
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    POSITIVE LOGITS
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     everywhere
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     NOW
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    Activations Density 0.772%

    No Known Activations