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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. 20009
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    Explanations

    specific dates in different years

    oai_token-act-pair · gpt-3.5-turbo

    dates and times

    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
    nces
    -0.19
    forth
    -0.18
    abouts
    -0.18
    eus
    -0.17
     Kappa
    -0.16
    tein
    -0.16
    glers
    -0.16
     Horus
    -0.16
     clocks
    -0.15
     Clown
    -0.15
    POSITIVE LOGITS
    à©
    0.15
    interstitial
    0.15
    VIDIA
    0.15
    \\\\
    0.14
    inch
    0.13
    Parameter
    0.13
    Import
    0.13
    ruct
    0.13
    celer
    0.13
    Limit
    0.13
    Activations Density 6.029%

    No Known Activations