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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. 7-RES-JB
    11. 21768
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    Explanations

    dates presented in a numerical format

    oai_token-act-pair · gpt-3.5-turbo

    sentences with significant ending punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     temperament
    -0.72
     jersey
    -0.72
     affili
    -0.71
     laugh
    -0.71
     muc
    -0.71
     disemb
    -0.70
     pens
    -0.70
     rall
    -0.69
     mach
    -0.69
     discreet
    -0.68
    POSITIVE LOGITS
     Previously
    0.96
     However
    0.95
     Since
    0.95
     During
    0.95
     That
    0.94
     Prior
    0.94
     Cance
    0.93
     Until
    0.92
     REUTERS
    0.90
     Months
    0.90
    Activations Density 0.450%

    No Known Activations