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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. 12-RES-JB
    11. 2720
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    INDEX
    Explanations

    the word "and" occurring between other words in the text

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

    conjunctions and phrases indicating addition

    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
     Paper
    -0.96
     Thin
    -0.78
     Trash
    -0.76
    Scan
    -0.76
     Melt
    -0.75
    missing
    -0.71
     Splash
    -0.71
     Names
    -0.70
     Plasma
    -0.70
     Bulgar
    -0.70
    POSITIVE LOGITS
     encour
    1.21
     encouraged
    1.13
     condone
    1.13
     embold
    1.11
     glor
    1.11
     acquies
    1.09
     rewarded
    1.08
     assisted
    1.07
     encouragement
    1.06
     encourage
    1.05
    Activations Density 0.155%

    No Known Activations