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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. 6-RES-JB
    11. 672
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    Explanations

    medical conditions related to the eye, specifically macular degeneration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific medical conditions or biological concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LER
    -0.83
    CAP
    -0.80
    Veter
    -0.75
    hig
    -0.71
    etta
    -0.70
    EG
    -0.68
    cedented
    -0.68
    ASC
    -0.68
     Wass
    -0.68
     Strauss
    -0.67
    POSITIVE LOGITS
    ity
    1.18
    ular
    1.10
    ization
    1.00
    ized
    0.99
    izing
    0.97
    ities
    0.97
    ies
    0.93
    isations
    0.92
    izes
    0.92
    ularity
    0.90
    Activations Density 0.026%

    No Known Activations