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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. 5434
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    INDEX
    Explanations

    phrases that convey strong emotions or impact

    oai_token-act-pair · gpt-3.5-turbo

    affirmative statements or conditions that imply importance or significance

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Policies
    -0.83
     Legislation
    -0.78
     inaction
    -0.74
     Provision
    -0.72
     Surveillance
    -0.70
     Procedures
    -0.70
     Administration
    -0.69
     Discrimination
    -0.69
     COP
    -0.68
     Objective
    -0.68
    POSITIVE LOGITS
     capt
    1.32
     thrill
    1.24
    rouse
    1.23
     fasc
    1.21
     intrigue
    1.20
     resonate
    1.17
     intrigued
    1.17
     reson
    1.15
     aston
    1.13
     dazz
    1.12
    Activations Density 0.280%

    No Known Activations