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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. 8-RES-JB
    11. 12996
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    Explanations

    the word "all" followed by various context-specific terms or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the word "all"

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    aminer
    -0.67
    ritic
    -0.67
    inth
    -0.67
    assembly
    -0.66
    dl
    -0.62
    lander
    -0.61
    ombat
    -0.61
    SHIP
    -0.61
    illy
    -0.60
    edin
    -0.58
    POSITIVE LOGITS
    iances
    1.14
    ocating
    1.09
    igators
    1.06
    uding
    1.05
    udes
    1.04
     sorts
    1.02
     kinds
    1.01
    usions
    1.01
    iance
    0.94
     bets
    0.94
    Activations Density 0.115%

    No Known Activations