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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. 9895
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    Explanations

    words related to medical conditions and terms like "prevalence rate" and "idiopathic"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health issues, particularly diseases and medical conditions

    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
     antioxid
    -1.03
    RESULTS
    -0.80
    Balt
    -0.80
     ingred
    -0.72
    OHN
    -0.66
    SPONSORED
    -0.66
     corrid
    -0.65
    GROUP
    -0.65
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.65
    ROR
    -0.64
    POSITIVE LOGITS
    ividual
    0.79
     ItemLevel
    0.73
    ogun
    0.71
    itially
    0.71
    enfranch
    0.66
    rue
    0.65
    rike
    0.64
    othal
    0.63
    mosp
    0.63
    ecause
    0.62
    Activations Density 15.206%

    No Known Activations