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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. 903
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    Explanations

    terms related to monitoring, control, and regulation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to supervision and oversight

    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
    govtrack
    -0.81
    ileaks
    -0.79
    rill
    -0.72
    omorphic
    -0.72
    orescent
    -0.71
    ifiers
    -0.70
    uder
    -0.70
    tein
    -0.70
    sson
    -0.68
    ruary
    -0.67
    POSITIVE LOGITS
     overseeing
    1.01
    orship
    0.97
    manship
    0.85
     oversight
    0.85
     delegated
    0.84
     oversee
    0.83
    taker
    0.82
     discipl
    0.82
     overseen
    0.79
     responsibilities
    0.79
    Activations Density 0.073%

    No Known Activations