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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. 8108
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    Explanations

    significant events or people from different time periods

    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
    hyde
    -0.69
    ATURES
    -0.69
    vet
    -0.69
    INO
    -0.68
    plets
    -0.65
    ARA
    -0.59
    cil
    -0.59
    LY
    -0.58
     Explain
    -0.58
    Features
    -0.57
    POSITIVE LOGITS
     century
    1.23
     day
    1.20
     bunch
    1.19
     millennium
    1.17
     decade
    1.15
     era
    1.13
     year
    1.13
     week
    1.10
     night
    1.08
     month
    1.04
    Activations Density 0.114%

    No Known Activations