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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. 11481
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    Explanations

    mentions of museums or specific museum names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of museums and art institutions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Lyft
    -0.94
     latency
    -0.87
    igun
    -0.85
     ISP
    -0.83
    phrine
    -0.83
     caffeine
    -0.82
     DHCP
    -0.81
     Comcast
    -0.81
     throttle
    -0.80
    amacare
    -0.78
    POSITIVE LOGITS
     Archae
    1.35
     archaeological
    1.35
     museum
    1.32
     archaeologists
    1.29
     sculptures
    1.28
     inscription
    1.24
     Museum
    1.23
     sculpture
    1.21
     excavation
    1.20
     Antiqu
    1.20
    Activations Density 0.837%

    No Known Activations