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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. 2140
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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 @ 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
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    No Comments

    Negative Logits
     flourishing
    -0.74
     mushroom
    -0.72
     thous
    -0.72
     manif
    -0.71
     scattering
    -0.71
     incent
    -0.70
    seless
    -0.69
     administ
    -0.69
     recalling
    -0.68
     glim
    -0.67
    POSITIVE LOGITS
     âĢº
    0.88
    Temperature
    0.88
    °
    0.88
    âĶģ
    0.85
    Family
    0.85
    é¾į
    0.85
    MpServer
    0.82
    Enlarge
    0.82
    align
    0.82
    ef
    0.82
    Activations Density 0.080%

    No Known Activations