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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. 7016
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    Explanations

    instances of references to multiple authors in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to academic citations

    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
    FUL
    -0.65
    ensical
    -0.65
    é¾įå¥ij士
    -0.60
    atever
    -0.57
     Deliver
    -0.56
     headsets
    -0.56
    Experience
    -0.55
    ATTLE
    -0.55
    ldon
    -0.54
    ardless
    -0.54
    POSITIVE LOGITS
     al
    1.37
     seq
    1.25
    rics
    0.88
    seq
    0.83
    ching
    0.81
    ree
    0.80
    ches
    0.80
    su
    0.79
     Associates
    0.75
    rand
    0.75
    Activations Density 0.012%

    No Known Activations