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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. 9-RES-JB
    11. 16637
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    Explanations

    time durations expressed in minutes or days

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to time and duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edient
    -0.72
     leveled
    -0.72
     density
    -0.63
    ramid
    -0.62
    liest
    -0.59
    artisan
    -0.59
     Seller
    -0.57
    Tro
    -0.57
     leve
    -0.57
    llor
    -0.57
    POSITIVE LOGITS
     hours
    1.34
     minutes
    1.34
     seconds
    1.30
     days
    1.23
     hrs
    1.23
    hours
    1.23
     weeks
    1.22
     months
    1.17
     milliseconds
    1.17
    seconds
    1.16
    Activations Density 0.209%

    No Known Activations