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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. 12-RES-JB
    6. 4726
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    INDEX
    Explanations

    quotes or sentences emphasizing strong emotions or dramatic events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    punctuation marks and formatting elements in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     tremend
    -1.60
     challeng
    -1.48
     occas
    -1.28
     millenn
    -1.25
     metic
    -1.24
     suspic
    -1.21
     mathemat
    -1.20
     destro
    -1.20
     gobl
    -1.18
     nodd
    -1.17
    POSITIVE LOGITS
    ↵
    1.08
    <|endoftext|>
    0.81
    ↵↵
    0.77
     Could
    0.55
     Dozens
    0.54
     Unsure
    0.53
     [+]
    0.52
     Retrieved
    0.52
     Earlier
    0.51
     Currently
    0.51
    Activations Density 0.065%

    No Known Activations