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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16500
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    INDEX
    Explanations

    occurrences of the word "during"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "during."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "during"

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DIV
    -0.79
    ophe
    -0.77
    ledged
    -0.77
    916
    -0.70
    esian
    -0.69
    NRS
    -0.68
    sett
    -0.68
    onica
    -0.67
    ettle
    -0.67
    il
    -0.67
    POSITIVE LOGITS
     periods
    0.92
     halftime
    0.92
     wartime
    0.90
     renovations
    0.89
     adolescence
    0.86
     weekends
    0.83
     emergencies
    0.82
     infancy
    0.80
    ĸļ
    0.78
     WWII
    0.77
    Activations Density 0.050%

    No Known Activations