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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. 3131
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    Explanations

    medical terms related to diagnosis and treatment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to alignment and diagnosis in various contexts

    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
    ienced
    -0.99
    tiny
    -0.78
    estones
    -0.77
    ents
    -0.75
    rys
    -0.71
    aud
    -0.70
    ravis
    -0.69
    verning
    -0.68
    thumbnails
    -0.68
    cled
    -0.67
    POSITIVE LOGITS
    ignment
    0.89
    eering
    0.88
    naire
    0.85
    ality
    0.78
    ary
    0.76
     recommendation
    0.74
     reversal
    0.73
     selection
    0.72
     stemming
    0.72
     designation
    0.71
    Activations Density 0.023%

    No Known Activations