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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. 7-RES-JB
    6. 23157
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    Explanations

    dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    years and time periods associated with events or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tap
    -0.68
     Sense
    -0.68
    dds
    -0.66
    cro
    -0.66
    Definition
    -0.64
    ËĪ
    -0.64
    Word
    -0.63
    à
    -0.62
     Dys
    -0.61
    atem
    -0.61
    POSITIVE LOGITS
     respectively
    1.19
     depending
    0.92
    depending
    0.82
     inclusive
    0.81
    SPONSORED
    0.76
     totaling
    0.71
     consecut
    0.69
     alike
    0.68
     periods
    0.67
     cycles
    0.64
    Activations Density 0.101%

    No Known Activations