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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. 9-RES-JB
    6. 5172
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    Explanations

    phrases containing the word "so"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.77
     NTS
    -0.68
     Mens
    -0.62
     royalty
    -0.57
     crim
    -0.56
     Mog
    -0.56
     FAA
    -0.56
     Mock
    -0.55
     Customs
    -0.55
     Alpine
    -0.55
    POSITIVE LOGITS
    apy
    1.35
    oths
    1.31
    iled
    1.18
    aps
    1.12
    bered
    1.11
    aring
    1.05
    vi
    1.04
    pping
    1.03
    bs
    1.01
    othe
    0.99
    Activations Density 0.040%

    No Known Activations