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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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    Explanations

    chemical compounds and scientific terms related to them

    oai_token-act-pair · gpt-3.5-turbo

    chemical compounds and related scientific terminology

    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
    Reviewed
    -0.67
     distingu
    -0.59
    hement
    -0.57
     erection
    -0.55
    odder
    -0.52
    :{
    -0.52
     subcommittee
    -0.52
     ACTIONS
    -0.51
     defe
    -0.50
     Cosponsors
    -0.50
    POSITIVE LOGITS
    uddin
    0.60
    nah
    0.56
    ãĥ¼ãĥ
    0.56
    unct
    0.53
    bia
    0.53
     Uzbek
    0.52
    etus
    0.52
    ãĥ¼ãĥ«
    0.51
    ovych
    0.51
    ipal
    0.51
    Activations Density 1.224%

    No Known Activations