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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 11035
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    Explanations

    places and locations, particularly those involved in conflict and military operations

    oai_token-act-pair · gpt-3.5-turbo

    names of places and locations involved in conflicts

    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
    TPP
    -0.93
    Netflix
    -0.90
    CAN
    -0.76
    laughter
    -0.76
    strom
    -0.76
    BILITIES
    -0.76
    NZ
    -0.75
    Native
    -0.75
    SON
    -0.75
    wcs
    -0.74
    POSITIVE LOGITS
     Homs
    1.46
     Aleppo
    1.45
     Idlib
    1.44
     Raqqa
    1.41
     Mosul
    1.41
     Damascus
    1.34
     Sheikh
    1.30
     Tripoli
    1.25
     Kaf
    1.23
     Beirut
    1.21
    Activations Density 0.203%

    No Known Activations