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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. 11-RES-JB
    11. 6127
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    Explanations

    words related to technological companies or products

    oai_token-act-pair · gpt-3.5-turbo

    specific product names or brand identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashtra
    -0.83
     wa
    -0.78
     respectively
    -0.72
     rhy
    -0.62
    »Ĵ
    -0.58
    ã
    -0.57
     sheer
    -0.57
     contr
    -0.57
     smack
    -0.56
     stakes
    -0.56
    POSITIVE LOGITS
    ndum
    1.00
    naissance
    0.92
    burse
    0.91
    itory
    0.91
    rocal
    0.90
    irmation
    0.90
    issance
    0.89
    earch
    0.88
    otiation
    0.86
    forcement
    0.86
    Activations Density 0.105%

    No Known Activations