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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. 11-RES-JB
    11. 6514
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    Explanations

    phrases related to conducting experiments or scientific investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific experiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clinton
    -0.67
    entin
    -0.64
    CLOSE
    -0.64
    cut
    -0.62
     grievances
    -0.61
    si
    -0.61
    justice
    -0.61
    doms
    -0.61
    ACTED
    -0.60
    utra
    -0.60
    POSITIVE LOGITS
    ally
    1.06
    imental
    1.05
    iments
    0.90
     experiment
    0.85
    ationally
    0.84
    inea
    0.84
     conducted
    0.84
     withd
    0.82
     experimenting
    0.82
     experiments
    0.81
    Activations Density 0.065%

    No Known Activations