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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 19740
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    Explanations

    medical terms related to specializations in healthcare, especially ophthalmology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the chemical and medical fields, particularly focusing on carcinogens

    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
     Bust
    -0.75
    href
    -0.75
     Breaker
    -0.72
    ktop
    -0.69
     Clicker
    -0.69
    naire
    -0.67
     Attention
    -0.66
     Winn
    -0.66
    enance
    -0.65
    lli
    -0.64
    POSITIVE LOGITS
    thal
    1.19
    uminum
    0.87
    mic
    0.80
    amic
    0.79
    uminium
    0.77
     Pradesh
    0.76
    aval
    0.75
    mology
    0.75
    nit
    0.75
    axy
    0.74
    Activations Density 0.027%

    No Known Activations