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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. 8-RES-JB
    6. 40
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    Explanations

    numbers, quantities, and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    negations or phrases indicating limitations or specificity

    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
    ussions
    -0.82
    lb
    -0.62
     unsuccessfully
    -0.62
    acas
    -0.61
    rams
    -0.61
    ounces
    -0.60
    osures
    -0.59
     Remain
    -0.59
    Disk
    -0.59
     Alam
    -0.57
    POSITIVE LOGITS
    soDeliveryDate
    0.85
     gonna
    0.79
    iour
    0.75
     funny
    0.72
    TY
    0.70
     eyebrow
    0.70
     kinda
    0.69
     gotta
    0.69
     ðŁij
    0.69
    ðŁ
    0.69
    Activations Density 0.319%

    No Known Activations