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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    the phrase "keep in mind."

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "keep in mind."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ENN
    -0.65
     impuls
    -0.59
    oran
    -0.58
    WARE
    -0.57
    netflix
    -0.57
    HOW
    -0.56
    ennial
    -0.56
     implicated
    -0.56
    Invalid
    -0.55
    hole
    -0.54
    POSITIVE LOGITS
     mind
    0.97
    formed
    0.85
    clus
    0.83
     custody
    0.83
     touch
    0.83
     wraps
    0.80
    clusive
    0.78
     suspense
    0.77
     contact
    0.76
     chronological
    0.75
    Activations Density 0.049%

    No Known Activations