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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. 6-RES-JB
    6. 5858
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    INDEX
    Explanations

    words or phrases related to a significant or rapid increase

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "steep" and its contextual usage indicating significant challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -0.81
    ignty
    -0.80
    phis
    -0.75
    aurus
    -0.74
     Machina
    -0.74
    ubb
    -0.73
    imester
    -0.73
     Veter
    -0.68
    bers
    -0.68
     Scotia
    -0.67
    POSITIVE LOGITS
    ly
    1.00
     slopes
    0.98
    ened
    0.97
     slope
    0.96
     gradient
    0.88
    ed
    0.87
     ascent
    0.85
    gradient
    0.81
     steep
    0.80
    ness
    0.80
    Activations Density 0.022%

    No Known Activations