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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. 3-RES-JB
    11. 5696
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    Explanations

    academic citations in the format of Digital Object Identifiers (DOIs) and International Standard Book Numbers (ISBNs)

    oai_token-act-pair · gpt-3.5-turbo

    citations and references related to academic publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rete
    -0.91
     decor
    -0.75
    reet
    -0.70
     announ
    -0.68
    mere
    -0.68
    quer
    -0.67
    lime
    -0.66
    osta
    -0.66
    cakes
    -0.66
    rama
    -0.66
    POSITIVE LOGITS
    doi
    1.63
     DOI
    1.14
    ://
    1.01
     doi
    0.98
     PubMed
    0.97
    ĸļ
    0.95
    ":"/
    0.88
     Accessed
    0.85
    ="#
    0.84
    romeda
    0.83
    Activations Density 0.013%

    No Known Activations