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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    çĦ
    -0.72
    imb
    -0.71
    sung
    -0.68
     Surv
    -0.66
    miah
    -0.62
    akia
    -0.62
    mberg
    -0.62
    ppo
    -0.62
     Alive
    -0.61
    erion
    -0.61
    POSITIVE LOGITS
     urging
    0.87
    irection
    0.84
     caution
    0.74
    wcsstore
    0.74
    aukee
    0.71
     prompt
    0.71
    tale
    0.68
    urous
    0.68
    FontSize
    0.68
    itudinal
    0.67
    Activations Density 0.011%

    No Known Activations