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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. 2-RES-JB
    11. 7602
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    Explanations

    references to ethical principles and beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to societal principles and moral standards

    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
    src
    -0.82
    brain
    -0.79
    --------------------------------------------------------
    -0.74
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.72
    geon
    -0.71
    nec
    -0.70
    pmwiki
    -0.69
    \/\/
    -0.69
    Runner
    -0.68
    ripp
    -0.68
    POSITIVE LOGITS
     values
    1.11
     Values
    1.03
    values
    0.97
    Values
    0.80
     value
    0.78
     proposition
    0.76
     embodied
    0.76
     ambassadors
    0.75
     propositions
    0.75
     ideals
    0.74
    Activations Density 0.009%

    No Known Activations