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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. 11-RES-JB
    11. 364
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    parentheses with high frequency in close proximity to numbers indicating dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     metic
    -0.99
     eleph
    -0.96
    ortunately
    -0.94
     exha
    -0.90
     cryst
    -0.86
     enthusi
    -0.86
     perspect
    -0.86
     pudding
    -0.82
     pione
    -0.82
     oun
    -0.82
    POSITIVE LOGITS
    5
    1.62
    6
    1.59
    7
    1.59
    4
    1.58
    9
    1.58
    8
    1.58
    3
    1.57
    13
    1.54
    10
    1.53
    2
    1.52
    Activations Density 0.066%

    No Known Activations