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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. 7-RES-JB
    11. 2256
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to socioeconomic factors and structural issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Niet
    -0.83
    enegger
    -0.83
     Vaugh
    -0.72
     Moroc
    -0.65
     Seym
    -0.65
    âĸ¬
    -0.63
     Noon
    -0.61
    avorite
    -0.60
    pex
    -0.58
     thous
    -0.58
    POSITIVE LOGITS
    \":
    0.64
     ][
    0.62
    )?
    0.56
    ileaks
    0.55
     ]
    0.51
    âĢIJ
    0.51
     seism
    0.50
     ):
    0.50
    Elsa
    0.49
    clinton
    0.49
    Activations Density 0.702%

    No Known Activations