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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4978
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    Explanations

    phrases related to legal, ethical, philosophical, and societal concepts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to arguments and beliefs about morality and self-interest

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     racks
    -0.51
     Ahead
    -0.48
    çīĪ
    -0.46
     tops
    -0.45
     Boom
    -0.44
     Shots
    -0.43
     Drops
    -0.43
     Shooting
    -0.42
     Lights
    -0.42
    DAQ
    -0.41
    POSITIVE LOGITS
     epist
    0.51
     caus
    0.51
    ensable
    0.51
    blance
    0.50
     morally
    0.50
     psychologically
    0.49
    ardless
    0.49
     subjective
    0.49
     causation
    0.48
    akespe
    0.47
    Activations Density 4.349%

    No Known Activations