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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. 16557
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    Explanations

    phrases related to causes of various medical conditions or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to causes and factors contributing to various conditions or outcomes

    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
    aeper
    -0.95
    town
    -0.79
    aredevil
    -0.75
    isse
    -0.75
    yss
    -0.71
    externalActionCode
    -0.70
    PDATE
    -0.69
     Technique
    -0.64
    shaw
    -0.63
    illet
    -0.63
    POSITIVE LOGITS
     infertility
    0.87
     cele
    0.82
     Causes
    0.77
    cause
    0.75
     outbreaks
    0.75
     irreversible
    0.73
     tox
    0.72
     havoc
    0.72
     causing
    0.72
    Benz
    0.72
    Activations Density 0.035%

    No Known Activations