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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. 6-RES-JB
    11. 21773
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    Explanations

    time-related phrases, particularly deadlines and durations

    oai_token-act-pair · gpt-3.5-turbo

    time-related references and deadlines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ards
    -0.82
     Cosponsors
    -0.78
    ãĥĺ
    -0.78
    odium
    -0.76
    alian
    -0.76
    PDF
    -0.75
    Ĥª
    -0.75
    oy
    -0.75
    nell
    -0.74
    GR
    -0.74
    POSITIVE LOGITS
     enactment
    0.96
     encountering
    0.89
     landfall
    0.87
     arrival
    0.86
     arriving
    0.86
     completion
    0.85
     reaching
    0.82
     entering
    0.82
     occupancy
    0.80
     initiating
    0.77
    Activations Density 0.054%

    No Known Activations