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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. 13586
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    Explanations

    references to specific years or dates

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and special characters

    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
     unnecess
    -0.99
     tremend
    -0.95
     nodd
    -0.89
     challeng
    -0.83
     spons
    -0.81
     prohib
    -0.81
     downright
    -0.79
     calf
    -0.76
    pport
    -0.75
     dynamically
    -0.73
    POSITIVE LOGITS
     During
    1.55
     He
    1.52
     His
    1.49
     Prior
    1.45
     Later
    1.43
     Throughout
    1.42
     Following
    1.41
     Along
    1.38
     Shortly
    1.37
     Afterwards
    1.36
    Activations Density 0.184%

    No Known Activations