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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. 4672
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    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
     routine
    -0.61
    ̶
    -0.59
     otherwise
    -0.56
     esp
    -0.55
    YS
    -0.54
     SUP
    -0.52
     Californ
    -0.52
    ctor
    -0.52
     Haram
    -0.51
     Americ
    -0.50
    POSITIVE LOGITS
    ing
    1.68
    ed
    1.34
    quartered
    1.18
    ificant
    1.08
    ificantly
    1.03
    edly
    1.01
    edIn
    0.95
    ership
    0.95
    quarters
    0.94
    s
    0.94
    Activations Density 0.251%

    No Known Activations