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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. 12-RES-JB
    11. 2476
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    Explanations

    phrases relating to events or actions that occurred before a specific point in time

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    instances of the word "Before" indicating events or actions that have taken place prior to a certain point in time

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ãĤ¤
    -0.80
    optional
    -0.74
    kept
    -0.73
    rency
    -0.71
    ı
    -0.70
    ãĤ£
    -0.70
    atic
    -0.69
    ãĥ¼ãĥ
    -0.69
    aez
    -0.67
    Ń
    -0.67
    POSITIVE LOGITS
     embark
    0.95
    hand
    0.93
     dawn
    0.91
     sunrise
    0.90
     entering
    0.85
     joining
    0.84
     takeoff
    0.83
     becoming
    0.82
     reaching
    0.81
     puberty
    0.81
    Activations Density 0.082%

    No Known Activations