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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. 2645
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    Explanations

    specific time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    temporal references and indicators related to events and timeframes

    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
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    Negative Logits
    idious
    -0.66
    OLD
    -0.62
    oret
    -0.60
     fuzz
    -0.58
     awa
    -0.57
    roup
    -0.57
     louder
    -0.57
    INE
    -0.57
    itiveness
    -0.57
     scaven
    -0.55
    POSITIVE LOGITS
    soDeliveryDate
    0.81
    pload
    0.77
    è£ħ
    0.72
    é¾į
    0.66
    illac
    0.66
     Aires
    0.66
    */(
    0.65
    zac
    0.65
    cliffe
    0.65
    igslist
    0.65
    Activations Density 0.910%

    No Known Activations