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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. 6-RES-JB
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    terms related to marine environments and resources

    oai_token-act-pair · gpt-3.5-turbo

    terms related to marine and maritime contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lest
    -0.92
    heimer
    -0.84
    hered
    -0.84
    icken
    -0.82
    avering
    -0.81
    VP
    -0.80
    Interstitial
    -0.80
    etts
    -0.79
    otten
    -0.79
    arantine
    -0.77
    POSITIVE LOGITS
     mammal
    1.17
     marine
    1.05
     mammals
    1.05
     Fisheries
    1.00
     biologist
    0.98
     wildlife
    0.92
     parks
    0.90
     fisheries
    0.90
     Mamm
    0.87
     aquarium
    0.87
    Activations Density 0.018%

    No Known Activations