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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. 4-RES-JB
    11. 131
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    Explanations

    phrases related to the concept of time

    oai_token-act-pair · gpt-3.5-turbo

    terms related to time durations or measurements

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

    No Comments

    Negative Logits
    ramid
    -1.05
    riad
    -1.02
    ortium
    -0.97
    kef
    -0.87
    uthor
    -0.86
    rim
    -0.85
    hid
    -0.83
    riks
    -0.82
    erto
    -0.82
    inet
    -0.80
    POSITIVE LOGITS
    frames
    1.26
    frame
    0.97
     elapsed
    0.90
    zone
    0.87
     stamps
    0.83
    checks
    0.81
     consuming
    0.78
    clock
    0.76
     periods
    0.75
     expectancy
    0.75
    Activations Density 0.084%

    No Known Activations