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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. 3-RES-JB
    11. 3898
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    Explanations

    companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    the word "which" indicating clauses that provide additional information about various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Behind
    -0.80
    athi
    -0.71
    aund
    -0.68
    grim
    -0.66
    WARE
    -0.65
    Bas
    -0.65
    Gy
    -0.65
    bug
    -0.63
     Ott
    -0.62
     Bucc
    -0.61
    POSITIVE LOGITS
    soever
    0.97
     comprises
    0.82
     specializes
    0.80
     oversees
    0.79
     operates
    0.78
     consists
    0.78
     comprised
    0.73
     resulted
    0.72
     encompasses
    0.72
     specialize
    0.72
    Activations Density 0.134%

    No Known Activations