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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. 1-RES-JB
    11. 2378
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    INDEX
    Explanations

    mentions of the word "Dam" followed by different numbers, likely referring to a specific entity, location, or concept named "Dam."

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Dam" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Subtle
    -0.77
     profiling
    -0.71
    avorite
    -0.69
     Hawaiian
    -0.68
    ucket
    -0.64
    ="/
    -0.61
    NetMessage
    -0.59
    culosis
    -0.59
     outpatient
    -0.59
     serotonin
    -0.58
    POSITIVE LOGITS
     Dam
    0.98
    ashtra
    0.89
    ukong
    0.85
    iour
    0.84
    ufact
    0.81
    iani
    0.81
    ned
    0.81
    amaz
    0.80
    wall
    0.78
    Dam
    0.77
    Activations Density 0.008%

    No Known Activations