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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. 13635
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    Explanations

    phrases related to scientific experiments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "experiment" and its variations

    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
    headers
    -0.66
    othy
    -0.65
    ACP
    -0.63
    roots
    -0.63
    cut
    -0.62
    doms
    -0.60
    miah
    -0.59
    CHAPTER
    -0.59
    ACTED
    -0.59
    clinton
    -0.58
    POSITIVE LOGITS
    imental
    1.04
    iments
    1.01
    iment
    0.86
     Experiment
    0.85
    ally
    0.84
     experiment
    0.83
    onom
    0.77
    ually
    0.73
    eers
    0.73
     experimenting
    0.73
    Activations Density 0.025%

    No Known Activations