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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. 8-RES-JB
    11. 799
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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 @ 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
    edin
    -0.91
    bell
    -0.89
    nick
    -0.80
    angelo
    -0.79
    mare
    -0.79
    forward
    -0.78
    sonian
    -0.74
    bek
    -0.70
    ucci
    -0.69
    mask
    -0.69
    POSITIVE LOGITS
    bidden
    1.10
     purposes
    1.01
     starters
    0.92
     emergencies
    0.91
    cible
    0.86
    gery
    0.85
     instance
    0.84
     sake
    0.83
     individuals
    0.81
     citizens
    0.80
    Activations Density 0.156%

    No Known Activations