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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. 24008
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    Explanations

    references to oil

    oai_token-act-pair · gpt-3.5-turbo

    references to oil

    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
    ples
    -0.76
    pled
    -0.69
     reality
    -0.68
    MR
    -0.65
     Hancock
    -0.61
     Supported
    -0.57
     Clover
    -0.57
    apo
    -0.56
     Dare
    -0.56
    ple
    -0.56
    POSITIVE LOGITS
    oil
    1.12
    oulos
    0.87
    OIL
    0.81
    arlane
    0.79
    atform
    0.78
    anguage
    0.76
    ashtra
    0.75
     spoiler
    0.70
    quote
    0.70
    OPLE
    0.69
    Activations Density 0.009%

    No Known Activations