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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. 10-RES-JB
    6. 23106
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    INDEX
    Explanations

    terms related to time-related concepts such as speed, duration, and sequencing

    oai_token-act-pair · gpt-3.5-turbo

    references to time-related concepts and processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.83
     EntityItem
    -0.82
     Cosponsors
    -0.66
     Voice
    -0.62
     Ic
    -0.61
     Cars
    -0.59
     Kits
    -0.58
    ctuary
    -0.58
     Flesh
    -0.58
     Child
    -0.57
    POSITIVE LOGITS
    consuming
    1.43
    saving
    1.42
    tested
    1.37
    hon
    1.35
    sensitive
    1.21
    travel
    1.18
    trial
    1.15
    intensive
    1.14
    limited
    1.11
    space
    1.06
    Activations Density 0.034%

    No Known Activations