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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. 17379
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    Explanations

    words related to commercial activities

    oai_token-act-pair · gpt-3.5-turbo

    references to commercialization across 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
    othal
    -0.83
    hov
    -0.73
    arios
    -0.72
    Pg
    -0.72
    hoe
    -0.72
    xual
    -0.72
     Twain
    -0.72
    ologies
    -0.71
     TAMADRA
    -0.70
    ombies
    -0.70
    POSITIVE LOGITS
    ized
    1.08
    ization
    1.03
     enterprise
    0.97
    ised
    0.97
     enterprises
    0.95
     airliner
    0.94
    izes
    0.87
    izing
    0.87
    elaide
    0.85
     behavi
    0.84
    Activations Density 0.016%

    No Known Activations