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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. 8-RES-JB
    11. 10232
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the urgency or necessity of taking action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hent
    -0.82
    RF
    -0.68
    pes
    -0.68
    person
    -0.61
    Balt
    -0.61
    hemat
    -0.61
     supported
    -0.60
    Ess
    -0.60
    Aust
    -0.60
    Supp
    -0.60
    POSITIVE LOGITS
     revisit
    1.32
     rethink
    1.13
     reconsider
    1.09
     retire
    1.08
     celebrate
    1.01
     rejoice
    0.97
     recomm
    0.94
     revise
    0.92
     purge
    0.89
     remind
    0.89
    Activations Density 0.101%

    No Known Activations