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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. 2647
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    Explanations

    technical terms related to computer hardware performance and photography

    oai_token-act-pair · gpt-3.5-turbo

    terms related to performance metrics and capabilities in technology and computing

    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
    ESA
    -0.64
    atorium
    -0.63
    addons
    -0.62
     Username
    -0.57
    ãĤ³
    -0.57
    ril
    -0.56
     Hue
    -0.55
    ãĤ®
    -0.54
    asse
    -0.54
    anamo
    -0.54
    POSITIVE LOGITS
     unmatched
    1.30
     unparalleled
    1.14
     comparable
    1.06
     irrespective
    1.06
     outper
    1.03
     regardless
    1.03
     indistinguishable
    1.00
     reliably
    0.98
     consistently
    0.94
     worthy
    0.93
    Activations Density 0.630%

    No Known Activations