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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. 17232
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    Explanations

    verbs related to dependency or reliance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating dependence or reliance on various factors

    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
    vision
    -0.77
    ãĥīãĥ©
    -0.76
    unci
    -0.70
    anas
    -0.66
     Yad
    -0.66
    alty
    -0.62
    caps
    -0.62
     Bench
    -0.59
    å¹
    -0.59
    ideshow
    -0.58
    POSITIVE LOGITS
     upon
    1.00
     heavily
    0.91
     critically
    0.91
     solely
    0.90
     greatly
    0.88
     principally
    0.87
     chiefly
    0.86
     largely
    0.85
     partly
    0.80
     hugely
    0.79
    Activations Density 0.030%

    No Known Activations