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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. 152
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    Explanations

    **phrases related to codes of behavior or ethics**

    oai_token-act-pair · gpt-3.5-turbo

    references to conduct and behavior standards

    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
    ARK
    -0.66
    Cooldown
    -0.64
     Nightmares
    -0.64
     Dise
    -0.63
     Lopez
    -0.63
    cial
    -0.61
    iewicz
    -0.61
     Genie
    -0.60
    Egypt
    -0.59
    ixed
    -0.59
    POSITIVE LOGITS
    onduct
    1.23
    ors
    1.07
    uations
    0.98
    ivity
    0.95
     conduct
    0.87
    ional
    0.86
    ions
    0.86
    ORS
    0.85
    ities
    0.84
    ativity
    0.84
    Activations Density 0.011%

    No Known Activations