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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. 6-RES-JB
    11. 17520
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    INDEX
    Explanations

    the word "how" followed by some context

    oai_token-act-pair · gpt-3.5-turbo

    questions and phrases indicating uncertainty or conditionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resil
    -0.70
    otto
    -0.66
     forfeiture
    -0.66
     playbook
    -0.65
     tomat
    -0.62
     racket
    -0.62
     Ley
    -0.62
     Pirates
    -0.61
     Rails
    -0.61
    MON
    -0.61
    POSITIVE LOGITS
    theless
    1.55
    selves
    1.16
    姫
    0.96
    tenance
    0.89
    fter
    0.87
    etheless
    0.86
    withstanding
    0.86
    forth
    0.83
    here
    0.78
    NESS
    0.78
    Activations Density 0.061%

    No Known Activations