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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. 5-RES-JB
    6. 17944
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    Explanations

    the modal verb "would" followed by a verb in past tense

    oai_token-act-pair · gpt-3.5-turbo

    the use of the letter 'd' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tensions
    -0.66
     Nun
    -0.62
     tension
    -0.61
     Remem
    -0.60
     Lambert
    -0.56
     Kos
    -0.56
     Tayyip
    -0.56
     Sut
    -0.55
     waivers
    -0.55
     organisers
    -0.54
    POSITIVE LOGITS
    ividual
    1.26
    iamond
    1.03
    iversity
    0.97
    hyde
    0.94
    orf
    0.93
    rown
    0.93
    gins
    0.93
    ynasty
    0.91
    onna
    0.90
    ynam
    0.90
    Activations Density 0.020%

    No Known Activations