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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19132
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    Explanations

    information related to the number of people involved in events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to the number of individuals involved in events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.75
    SPONSORED
    -0.75
    Corp
    -0.71
    inventoryQuantity
    -0.67
    Emer
    -0.67
     Lank
    -0.67
    Appearance
    -0.65
     Sadd
    -0.64
    \/\/
    -0.62
     Madness
    -0.61
    POSITIVE LOGITS
     smugglers
    0.96
    ava
    0.85
     gathered
    0.85
     fleeing
    0.80
     protesting
    0.79
     evacuated
    0.79
     perished
    0.78
     who
    0.78
     protested
    0.78
     traffickers
    0.77
    Activations Density 0.084%

    No Known Activations