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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. 4-RES-JB
    11. 12236
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    Explanations

    professional responsibilities or tasks

    oai_token-act-pair · gpt-3.5-turbo

    terms related to responsibilities and tasks

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

    No Comments

    Negative Logits
     Missile
    -0.71
    False
    -0.70
    analysis
    -0.65
    REAM
    -0.64
    Rail
    -0.61
    este
    -0.61
    TE
    -0.60
    Enough
    -0.60
     replay
    -0.60
    raid
    -0.59
    POSITIVE LOGITS
    pring
    1.05
     duties
    1.01
    ibling
    0.92
     responsibilities
    0.90
    manship
    0.90
    afety
    0.89
    uties
    0.88
     pertaining
    0.85
    hops
    0.85
     chores
    0.84
    Activations Density 0.033%

    No Known Activations