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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. 6-RES-JB
    11. 369
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    Explanations

    phrases related to opinions or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    sentences that express strong opinions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unstoppable
    -0.77
    zel
    -0.75
     assemb
    -0.72
    ilated
    -0.72
    thal
    -0.68
     induct
    -0.68
     haul
    -0.67
     absor
    -0.67
     oak
    -0.66
     modular
    -0.64
    POSITIVE LOGITS
     Instead
    1.55
     Nonetheless
    1.37
     nor
    1.35
     Nor
    1.34
     Therefore
    1.34
     Nevertheless
    1.33
     Neither
    1.30
     Unless
    1.28
     Especially
    1.28
     Hence
    1.25
    Activations Density 0.627%

    No Known Activations