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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. 8248
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    Explanations

    phrases related to economics and politics, such as trade agreements and government initiatives

    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
    inea
    -0.78
    heit
    -0.76
    apore
    -0.75
    EVA
    -0.74
    steen
    -0.72
     trance
    -0.69
    ername
    -0.67
    gnu
    -0.66
    uria
    -0.66
     inval
    -0.66
    POSITIVE LOGITS
    Shift
    0.68
     Pix
    0.67
     Brass
    0.64
     Firearms
    0.63
    Pull
    0.62
    ĪĴ
    0.61
    د
    0.61
    ohm
    0.59
    Previous
    0.59
    essional
    0.59
    Activations Density 0.370%

    No Known Activations