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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. 10-RES-JB
    11. 8496
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mega
    -0.74
    overe
    -0.70
    igmatic
    -0.68
    enegger
    -0.66
    ipeg
    -0.66
    ses
    -0.66
    keyes
    -0.66
    birth
    -0.65
    icz
    -0.65
    mc
    -0.65
    POSITIVE LOGITS
    eering
    1.12
     thereof
    0.96
     process
    0.93
    ary
    0.89
     technique
    0.85
    ist
    0.81
     fee
    0.80
     Technique
    0.78
     techniques
    0.76
    ally
    0.74
    Activations Density 0.288%

    No Known Activations