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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. 3850
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    Explanations

    phrases or sentences comparing an amount or level of something

    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
     antioxid
    -0.61
     respir
    -0.57
     sabot
    -0.57
     unlaw
    -0.56
    ASED
    -0.56
     orchestr
    -0.54
     Making
    -0.52
     hereby
    -0.52
     Mushroom
    -0.52
     Realms
    -0.50
    POSITIVE LOGITS
    phy
    1.20
    pired
    1.16
    ynchron
    1.15
    pires
    1.15
    piration
    1.05
     much
    1.04
    ocial
    0.99
    pire
    0.93
    phalt
    0.93
    part
    0.93
    Activations Density 0.131%

    No Known Activations