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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. 23521
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    EStream
    -0.84
    etheus
    -0.70
    wagen
    -0.67
     Cohn
    -0.65
    ortium
    -0.65
     Keeper
    -0.63
    izabeth
    -0.62
     1070
    -0.61
     trave
    -0.61
    utonium
    -0.60
    POSITIVE LOGITS
    sounding
    1.15
    comings
    0.91
    notations
    0.89
    non
    0.85
    aggressive
    0.81
    advertising
    0.80
    ingen
    0.74
    fixes
    0.73
     economical
    0.73
    albeit
    0.73
    Activations Density 0.307%

    No Known Activations