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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. 5-RES-JB
    6. 23322
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    Explanations

    phrases or patterns related to computer code, such as variable names, syntax, and function calls

    oai_token-act-pair · gpt-3.5-turbo

    ticks or special characters used for emphasis or quotation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phrine
    -0.74
     lifes
    -0.72
     Mamm
    -0.71
     dividing
    -0.71
     condem
    -0.68
     mills
    -0.65
     division
    -0.64
     unfocusedRange
    -0.64
    ocard
    -0.61
    ampton
    -0.61
    POSITIVE LOGITS
    taboola
    0.91
    eer
    0.89
    daq
    0.89
    ansas
    0.87
    lein
    0.82
    seq
    0.82
    DAQ
    0.81
    POSE
    0.77
    natureconservancy
    0.76
    PLE
    0.76
    Activations Density 0.010%

    No Known Activations