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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. 20593
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    Explanations

    words related to moral principles and ideals

    oai_token-act-pair · gpt-3.5-turbo

    references to moral concepts and principles

    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
    rams
    -0.83
    WER
    -0.79
    lers
    -0.78
    xual
    -0.76
    hips
    -0.75
    rooms
    -0.75
    eds
    -0.72
     Pavilion
    -0.71
    olds
    -0.70
    -+
    -0.69
    POSITIVE LOGITS
     compass
    1.11
     conscience
    1.04
    istic
    1.03
     equival
    1.01
     contag
    0.95
     hazard
    0.93
    istically
    0.92
    izing
    0.91
    ising
    0.90
    ised
    0.89
    Activations Density 0.012%

    No Known Activations