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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. 19420
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    Explanations

    phrases related to ensuring or guaranteeing certain conditions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of ensuring safety or compliance

    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
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.84
    ivated
    -0.84
    æ©
    -0.73
    ãĤ»
    -0.72
    ivan
    -0.70
    sbm
    -0.69
    EStreamFrame
    -0.68
    zie
    -0.68
     ç¥ŀ
    -0.68
    cffffcc
    -0.68
    POSITIVE LOGITS
     continuity
    1.02
     adequate
    1.00
     compliance
    0.98
     stability
    0.98
     confidentiality
    0.93
     fairness
    0.93
     adherence
    0.92
     accuracy
    0.92
     compatibility
    0.91
     consistency
    0.90
    Activations Density 0.054%

    No Known Activations