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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. 6340
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    Explanations

    terms related to electronic communication and sources

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating levels of significance and focus throughout the text

    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
    001
    -0.56
    0001
    -0.56
    idon
    -0.53
    iter
    -0.52
    istically
    -0.51
    untarily
    -0.50
    istor
    -0.49
    024
    -0.49
    yne
    -0.49
    isin
    -0.49
    POSITIVE LOGITS
    odied
    0.55
    Interstitial
    0.52
     wiser
    0.51
    mage
    0.49
    amental
    0.49
     conflic
    0.48
     Mechdragon
    0.47
    THING
    0.47
    ATES
    0.46
    arta
    0.46
    Activations Density 0.417%

    No Known Activations