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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. 10-RES-JB
    11. 5731
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    Explanations

    phrases related to moral judgments or ethical decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to making ethical decisions or assessing right from wrong

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oppable
    -0.68
    rise
    -0.67
    forts
    -0.65
    pop
    -0.65
     staple
    -0.63
    odor
    -0.62
    ceivable
    -0.62
    uvian
    -0.61
    ulu
    -0.60
    amaz
    -0.60
    POSITIVE LOGITS
     here
    0.94
     financially
    0.92
     when
    0.90
     regarding
    0.88
     unintentionally
    0.86
     academ
    0.83
     trying
    0.83
     designing
    0.82
     by
    0.82
     unnecessarily
    0.80
    Activations Density 0.324%

    No Known Activations