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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. 0-RES-JB
    11. 15550
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    Explanations

    words related to medical conditions, especially those related to ophthalmology and vision

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the field of ophthalmology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defer
    -0.67
     Garland
    -0.65
     Pin
    -0.64
     DC
    -0.64
     Cancel
    -0.62
     quit
    -0.62
     Madrid
    -0.61
     FedEx
    -0.60
     cancelled
    -0.60
     âĹı
    -0.59
    POSITIVE LOGITS
    oph
    4.41
    ophile
    2.60
    ophy
    2.03
    ophone
    2.01
    ophon
    1.98
    ophical
    1.73
    ophob
    1.68
    ophers
    1.63
    ophobic
    1.63
    ophe
    1.63
    Activations Density 0.019%

    No Known Activations