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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. 1-RES-JB
    6. 1589
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    Explanations

    phrases related to media or cultural references

    oai_token-act-pair · gpt-3.5-turbo

    references to specific conditions or prominent topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erity
    -0.78
     ---------
    -0.74
    essor
    -0.70
    hov
    -0.69
    resents
    -0.68
    esty
    -0.68
    llers
    -0.68
    inge
    -0.67
    cho
    -0.66
    ippy
    -0.66
    POSITIVE LOGITS
    ãĥ¥
    0.81
     Valhalla
    0.77
    Saharan
    0.70
     Runes
    0.64
     registry
    0.64
     empires
    0.63
     deterrent
    0.63
     empire
    0.62
     licences
    0.62
     spree
    0.61
    Activations Density 0.000%

    No Known Activations