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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. 7-RES-JB
    11. 2660
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    Explanations

    phrases related to legal matters and international organizations

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and prepositions indicating relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    BO
    -0.73
    Lot
    -0.72
    LET
    -0.66
    BUR
    -0.66
    IK
    -0.65
    EW
    -0.64
    Bed
    -0.62
     QUEST
    -0.61
    ilton
    -0.61
    Bu
    -0.61
    POSITIVE LOGITS
    inventoryQuantity
    0.71
    essen
    0.67
    è¦ļéĨĴ
    0.65
    onse
    0.63
     consequ
    0.61
    /+
    0.60
     tradem
    0.59
    erity
    0.59
    rency
    0.59
    ©¶æ
    0.59
    Activations Density 0.180%

    No Known Activations