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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. 1-RES-JB
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    Explanations

    the surname "Corwin"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "win" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     pinpoint
    -0.73
     sensitive
    -0.69
     reservations
    -0.67
     delinquent
    -0.66
     ubiquitous
    -0.64
    ¥ŀ
    -0.64
     unnamed
    -0.64
    OTOS
    -0.64
     identifying
    -0.63
     unnecess
    -0.63
    POSITIVE LOGITS
    ners
    1.48
    win
    1.27
    ning
    1.00
    nings
    0.99
    ner
    0.94
    vier
    0.93
    throp
    0.91
    athon
    0.89
    iculture
    0.89
    boats
    0.87
    Activations Density 0.004%

    No Known Activations