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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. 10-RES-JB
    6. 22286
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    Explanations

    specific dates in a month and a year

    oai_token-act-pair · gpt-3.5-turbo

    dates and times related to events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĺ
    -0.58
    channelAvailability
    -0.54
    issance
    -0.54
     whoever
    -0.53
    ä½ľ
    -0.53
     someday
    -0.51
    Artist
    -0.50
     ãĤµ
    -0.50
    Enh
    -0.49
    OGR
    -0.49
    POSITIVE LOGITS
     29
    0.96
     23
    0.93
     31
    0.93
     26
    0.91
     22
    0.91
     28
    0.91
     2010
    0.90
     27
    0.90
     19
    0.90
     2011
    0.89
    Activations Density 0.108%

    No Known Activations