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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. 7-RES-JB
    11. 5180
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    Explanations

    dates specified as time periods

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mson
    -0.72
    rosse
    -0.70
    este
    -0.67
     grate
    -0.63
     Everywhere
    -0.63
    imb
    -0.62
    ften
    -0.62
    ingers
    -0.60
     alike
    -0.59
     superf
    -0.58
    POSITIVE LOGITS
    's
    0.70
    poke
    0.69
    abal
    0.67
     AG
    0.65
     AFC
    0.64
    âĢ²
    0.62
    oru
    0.62
     election
    0.62
     MU
    0.59
    ELL
    0.59
    Activations Density 0.147%

    No Known Activations