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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. 14396
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    Explanations

    actions that need to be taken or steps that need to be followed

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate necessity or requirements

    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
     Relief
    -0.70
    ELD
    -0.67
     taxp
    -0.62
    Facebook
    -0.60
     Rosenberg
    -0.59
     Coff
    -0.56
    pires
    -0.56
     Palest
    -0.56
     Kinder
    -0.56
    Reader
    -0.56
    POSITIVE LOGITS
     rely
    1.10
     recreate
    1.06
     create
    1.06
     revisit
    1.04
     dedicate
    1.04
     prioritize
    1.03
     find
    1.03
     devise
    1.02
     rethink
    1.02
     assume
    1.00
    Activations Density 0.289%

    No Known Activations