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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. 9-RES-JB
    6. 3814
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    Explanations

    words related to established patterns or practices

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ileaks
    -0.85
    stocks
    -0.77
    gdala
    -0.76
    gow
    -0.74
    iaries
    -0.69
    obin
    -0.68
    entin
    -0.68
    kids
    -0.66
    ackets
    -0.65
    izoph
    -0.65
    POSITIVE LOGITS
    istically
    0.90
    istic
    0.86
     procedure
    0.81
     circumcision
    0.81
     slaughter
    0.80
    ALLY
    0.80
    ised
    0.78
    ized
    0.77
     performed
    0.75
     routine
    0.74
    Activations Density 0.078%

    No Known Activations