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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. 11-RES-JB
    6. 23510
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    Explanations

    introductory phrases signaling the beginning of a discussion or explanation

    oai_token-act-pair · gpt-3.5-turbo

    introductory phrases and expressions of intent or preparation

    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
    ãĥ´
    -0.69
    Wed
    -0.67
    ãĤ´ãĥ³
    -0.65
    ãĥĩ
    -0.64
     Niet
    -0.60
     Pear
    -0.60
    ardless
    -0.58
    Fax
    -0.56
    yles
    -0.56
     Wem
    -0.53
    POSITIVE LOGITS
     briefly
    0.95
     suffice
    0.90
     acquaint
    0.90
    Firstly
    0.87
     clarify
    0.83
     basics
    0.79
     realise
    0.77
     disclaimer
    0.76
     realize
    0.76
     remind
    0.75
    Activations Density 0.122%

    No Known Activations