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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. 10-RES-JB
    11. 1183
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    INDEX
    Explanations

    phrases related to identifying errors or issues

    oai_token-act-pair · gpt-3.5-turbo

    mentions of problems, flaws, or limitations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.94
    iversary
    -0.79
    trak
    -0.74
    asus
    -0.70
    raid
    -0.68
    engeance
    -0.68
    rontal
    -0.68
    ACP
    -0.68
    agra
    -0.67
    ebook
    -0.65
    POSITIVE LOGITS
     inherent
    1.09
     abound
    1.07
     arising
    1.02
     plag
    1.01
     lurking
    1.00
    pots
    0.95
     emerge
    0.91
     encountered
    0.91
     uncovered
    0.90
     pertaining
    0.90
    Activations Density 0.278%

    No Known Activations