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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. 9-RES-JB
    11. 22660
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    Explanations

    words related to tools or resources

    oai_token-act-pair · gpt-3.5-turbo

    references to necessary resources or abilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    onel
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    otos
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    ished
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    SIZE
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    athan
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     gloom
    -0.61
    oÄŁ
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    atorium
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    awar
    -0.59
    POSITIVE LOGITS
    etting
    1.03
    mith
    0.97
    ystem
    0.94
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     employed
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    0.91
    ologies
    0.91
    pace
    0.90
    hooting
    0.83
    Activations Density 0.206%

    No Known Activations