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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. 20017
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    Explanations

    words related to justice, crime, and legal processes

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and special characters within the text

    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
    .""
    -0.88
     UNCLASSIFIED
    -0.87
     âĸº
    -0.78
     --------
    -0.75
     ..."
    -0.74
     ------
    -0.71
    ,...
    -0.71
     ---
    -0.69
     Âł Âł
    -0.68
    ................................
    -0.67
    POSITIVE LOGITS
    ↵
    1.21
     ðŁĻĤ
    0.84
     Thankfully
    0.78
    SPONSORED
    0.76
     Whilst
    0.76
     Luckily
    0.76
     Essentially
    0.74
     Interestingly
    0.72
     Fortunately
    0.71
    <|endoftext|>
    0.71
    Activations Density 1.069%

    No Known Activations