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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. 8-RES-JB
    6. 20299
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    Explanations

    phrases related to conveying a message or gaining understanding

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reminis
    -0.64
    Lago
    -0.63
    ãĥĺ
    -0.59
    puff
    -0.59
    seek
    -0.58
    bro
    -0.58
     aloud
    -0.57
    bec
    -0.57
     unsuccessfully
    -0.57
    gat
    -0.57
    POSITIVE LOGITS
     same
    1.01
     brunt
    1.00
     idea
    1.00
     requisite
    0.99
     gist
    0.98
     slightest
    0.98
     opportunity
    0.96
     utmost
    0.96
     hardest
    0.95
     latest
    0.94
    Activations Density 0.101%

    No Known Activations