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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of school principals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "principal" referring to individuals in authoritative school positions

    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
    ALTH
    -0.78
    asca
    -0.76
    cale
    -0.73
    IGHTS
    -0.72
    etimes
    -0.71
    YN
    -0.69
    azes
    -0.68
    ppo
    -0.68
    ICA
    -0.67
    ork
    -0.67
    POSITIVE LOGITS
    ipal
    1.16
    ially
    0.94
    ities
    0.90
    iple
    0.87
    ority
    0.86
     Principal
    0.84
    essors
    0.81
     principal
    0.75
    inguished
    0.71
    itatively
    0.70
    Activations Density 0.007%

    No Known Activations