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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. 12-RES-JB
    11. 4714
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    Explanations

    materials and chemicals in the field of sciences, particularly related to minerals and elements

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    terms and concepts related to chemical compounds and scientific processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bott
    -0.71
    IDER
    -0.70
    IGHTS
    -0.69
     hearts
    -0.68
    BuyableInstoreAndOnline
    -0.66
     outrageous
    -0.60
     silent
    -0.60
     Fif
    -0.59
     behalf
    -0.59
     necks
    -0.58
    POSITIVE LOGITS
    rative
    1.97
    rator
    1.97
    ro
    1.96
    rogen
    1.88
    rite
    1.86
    ration
    1.85
    rals
    1.85
    ral
    1.84
    rators
    1.84
    rations
    1.83
    Activations Density 0.271%

    No Known Activations