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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. 9-RES-JB
    11. 2640
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    Explanations

    mentions of scientific experiments or research

    oai_token-act-pair · gpt-3.5-turbo

    references to experiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.69
    headers
    -0.66
    othy
    -0.66
    cut
    -0.66
    roots
    -0.62
    si
    -0.61
     grievances
    -0.60
    CLOSE
    -0.59
    clinton
    -0.58
    corruption
    -0.57
    POSITIVE LOGITS
    ally
    1.03
    imental
    1.01
    iments
    0.91
     Experiment
    0.78
     experiment
    0.77
    ually
    0.76
    ischer
    0.76
    ary
    0.76
    ationally
    0.75
    eer
    0.74
    Activations Density 0.052%

    No Known Activations