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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. 10291
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    Explanations

    time-related events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific points in time

    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
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    Negative Logits
    avorite
    -0.90
    ortium
    -0.73
    ancial
    -0.69
    irie
    -0.69
    ebted
    -0.67
    alach
    -0.65
    icket
    -0.62
    ourt
    -0.61
     ank
    -0.59
    annie
    -0.59
    POSITIVE LOGITS
    frames
    0.98
    frame
    0.69
    ZI
    0.69
    liest
    0.68
    spe
    0.67
     scales
    0.67
     frame
    0.66
     è£ıè
    0.65
     periods
    0.64
    IAS
    0.64
    Activations Density 0.036%

    No Known Activations