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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. 3-RES-JB
    11. 18046
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    Explanations

    words related to natural elements such as coral, algae, moss, and camouflage

    oai_token-act-pair · gpt-3.5-turbo

    words related to marine environments and their organisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WER
    -0.90
    HM
    -0.84
    nee
    -0.82
    ————————
    -0.77
    LER
    -0.74
    Limit
    -0.74
    kus
    -0.74
    NER
    -0.73
    BN
    -0.72
    mes
    -0.70
    POSITIVE LOGITS
     reefs
    1.47
     reef
    1.32
     coral
    1.15
     algae
    1.12
    fish
    1.02
     crabs
    0.91
     Reef
    0.89
     larvae
    0.88
     habitat
    0.87
     Coral
    0.84
    Activations Density 0.010%

    No Known Activations