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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. 8-RES-JB
    11. 2170
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    Explanations

    time-related information like specific hours, dates, and measurements

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and measurements related to time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    apego
    -0.54
    ierrez
    -0.54
    ONSORED
    -0.52
    ogether
    -0.52
    ADRA
    -0.50
     ensued
    -0.47
    oulos
    -0.44
     resurg
    -0.43
     Genie
    -0.43
    ierre
    -0.42
    POSITIVE LOGITS
    hours
    0.58
    days
    0.56
    clock
    0.56
    deg
    0.56
    medium
    0.56
    lev
    0.55
    min
    0.55
    2200
    0.55
    1900
    0.53
    1500
    0.53
    Activations Density 0.609%

    No Known Activations