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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. 9-RES-JB
    11. 9058
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    Explanations

    phrases related to competition or events

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive eating contests or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -1.15
    etheless
    -0.95
    inventoryQuantity
    -0.92
    again
    -0.90
    ebin
    -0.90
    tl
    -0.90
    reen
    -0.84
    merce
    -0.82
    channelAvailability
    -0.81
    VPN
    -0.81
    POSITIVE LOGITS
     mascot
    0.76
     blasting
    0.75
     Commando
    0.74
     simulated
    0.72
     chant
    0.72
     roaring
    0.72
     videos
    0.72
     videot
    0.72
     cartoons
    0.70
     blasts
    0.70
    Activations Density 1.242%

    No Known Activations