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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. 0-RES-JB
    11. 8113
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    Explanations

    words related to physical objects, specifically shelves

    oai_token-act-pair · gpt-3.5-turbo

    references to shelves and shelf life concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    houses
    -0.72
     tears
    -0.69
     Gob
    -0.66
    ACP
    -0.60
    cn
    -0.60
     computers
    -0.60
     Osw
    -0.59
    talk
    -0.58
    igators
    -0.58
    ushes
    -0.58
    POSITIVE LOGITS
     shelf
    3.13
     lifespan
    1.13
     longevity
    1.02
     rack
    0.94
     sideline
    0.88
     plaque
    0.88
    illary
    0.82
     Sark
    0.81
     pouch
    0.81
     retention
    0.78
    Activations Density 0.017%

    No Known Activations