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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. 4-RES-JB
    11. 16344
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    Explanations

    words related to electronics or technology, specifically focusing on display technologies like AMOLED

    oai_token-act-pair · gpt-3.5-turbo

    references to AM display technologies

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

    No Comments

    Negative Logits
    ttes
    -1.03
    leans
    -0.84
    vous
    -0.71
    doms
    -0.70
    ãĥ¼ãĥ«
    -0.66
     Strait
    -0.64
     externalToEVAOnly
    -0.63
     Kers
    -0.63
    isSpecialOrderable
    -0.63
     fractures
    -0.63
    POSITIVE LOGITS
    sterdam
    1.12
    endment
    1.09
    AZ
    1.05
    ICAN
    0.98
    BI
    0.91
    RA
    0.86
    BER
    0.86
    MY
    0.85
    AM
    0.85
    URA
    0.85
    Activations Density 0.010%

    No Known Activations