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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 265
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    INDEX
    Explanations

    phrases expressing a lack of concern or importance

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating the absence of wrongdoing or controversy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anos
    -0.79
    odan
    -0.74
     Pastebin
    -0.67
    ilts
    -0.67
    bda
    -0.67
    orks
    -0.65
     Hits
    -0.65
    eda
    -0.63
    eds
    -0.63
    ahime
    -0.62
    POSITIVE LOGITS
     else
    1.10
     wrong
    1.10
     stopping
    1.01
     inherently
    1.01
     intrinsically
    0.91
     happening
    0.89
     objectionable
    0.83
     inherent
    0.81
     intrinsic
    0.81
     worse
    0.81
    Activations Density 0.059%

    No Known Activations