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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. 21503
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    Explanations

    reports of severe incidents and casualties involving people

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties and the number of people involved in incidents

    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
    Measure
    -0.72
     Opportun
    -0.69
    \/\/
    -0.68
    ãĥĥ
    -0.65
    tnc
    -0.64
    ãĤ¦ãĤ¹
    -0.63
     Mouth
    -0.62
    idth
    -0.62
     Integ
    -0.60
    Tea
    -0.60
    POSITIVE LOGITS
     perished
    1.19
     died
    1.15
     injured
    1.10
     killed
    1.06
     drowned
    1.02
     hospitalized
    1.01
     perish
    1.01
     detained
    1.00
     evacuated
    0.95
     suffered
    0.94
    Activations Density 0.096%

    No Known Activations