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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. 20952
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    Explanations

    minerals or mineral-related terms, particularly focusing on terms ending in 'ite' with varying strengths of activation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to geological materials, particularly minerals and meteorites

    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
    NEY
    -0.72
     [|
    -0.71
    uckland
    -0.70
    MP
    -0.69
    NF
    -0.68
    utt
    -0.65
     Pengu
    -0.65
    ORT
    -0.64
    AUD
    -0.64
     antioxid
    -0.64
    POSITIVE LOGITS
     oxide
    0.93
    crete
    0.90
     mixture
    0.81
     dioxide
    0.80
     flakes
    0.79
     crystals
    0.78
     quar
    0.77
     alloy
    0.76
    oxide
    0.75
    ioxide
    0.74
    Activations Density 0.068%

    No Known Activations